CorText Manager around the world

281.

van den Besselaar, Peter; Khalili, Ali; de Graaf, Klaas Andries; Idrissou, Al; Loizou, Antonis; Schlobach, Stefan; van Harmelen, Frank

Towards an open infrastructure for Science, Technology and Innovation data Technical Report

Vrije Universiteit Amsterdam 2016, (https://www.oecd.org/sti/186%20-%20VanDenBesselaar%20et%20al_RISIS.pdf).

Abstract | BibTeX | Links:

282.

AlMaghlouth, Nada; Arvanitis, Rigas; Cointet, Jean-Philippe; Hanafi, Sari

Who frames the debate on the Arab uprisings? Analysis of Arabic, English, and French academic scholarship Journal Article

In: International sociology, vol. 30, no. 4, pp. 418–441, 2015.

Abstract | BibTeX | Links:

283.

Mesmoudi, Salma; Rodic, Mathieu; Cioli, Claudia; Cointet, Jean-Philippe; Yarkoni, Tal; Burnod, Yves

Linkrbrain: Multi-scale data integrator of the brain Journal Article

In: Journal of neuroscience methods, vol. 241, pp. 44-52, 2015.

Abstract | BibTeX | Links:

284.

Ruiz-Martinez, Irune; Marraccini, Elisa; Debolini, Marta; Bonari, Enrico

Indicators of agricultural intensity and intensification: a review of the literature Journal Article

In: Italian Journal of Agronomy, vol. 10, no. 2, pp. 74–84, 2015.

Abstract | BibTeX | Links:

@article{ruiz2015indicators,

title = {Indicators of agricultural intensity and intensification: a review of the literature},

author = {Irune Ruiz-Martinez and Elisa Marraccini and Marta Debolini and Enrico Bonari},

url = {https://hal.archives-ouvertes.fr/hal-01277628},

doi = {10.4081/ija.2015.656},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Italian Journal of Agronomy},

volume = {10},

number = {2},

pages = {74--84},

abstract = {Since the 1960s, research has dealt with agricultural intensification (AI) as a solution to ensure global food security. Recently, sustainable intensification (SI) has increasingly been used to describe those agricultural and farming systems that ensure adequate ecosystem service provision. Studies differ in terms of the application scales and methodologies, thus we aim to summarize the main findings from the literature on how AI and SI are assessed, from the farm to global levels. Our literature review is based on 7865 papers selected from the Web of Science database and analysed using CorText software. A further selection of 105 relevant papers was used for an in-depth full-text analysis on: i) farming systems studied; ii) related ecosystem services; iii) indicators of intensity; and iv) temporal and spatial scales of analysis. Through this two-step analysis we were able to highlight three main research gaps in the AI research indicators. Firstly, the farming systems analysed for assessing AI are often quite simplified or monoculture-oriented, and they do not take the diversity and complex organisation of farming systems into account. Secondly, these studies mainly focus on northern countries or developing countries, whereas there is a gap of knowledge in Mediterranean areas, which are the areas with a high complexity of farming systems and diversity in ecosystem services. Finally, AI is mostly assessed through nitrogen inputs and economic yield, which are used the most both at very local and global levels. Intermediate regional or local levels, which are relevant for policy implementation and local planning, are often neglected. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

285.

Rule, Alix; Cointet, Jean-Philippe; Bearman, Peter

Lexical shifts, substantive changes, and continuity in State of the Union discourse, 1790-2014 Journal Article

In: Proceedings of the National Academy of Sciences, vol. 112, no. 35, pp. 10837-10844, 2015.

Abstract | BibTeX | Links:

286.

Chavalarias, David; Cointet, Jean-Philippe; Cornilleau, Lise; Duong, Tan Kiem; Mogoutov, Andrei; Villard, Lionel; Roth, Camille; Thierry, Savy

Thematic Domination of Media Framing Book Chapter

In: Atlas of Knowledge Anyone Can Map, pp. 17, 2015.

Abstract | BibTeX | Links:

287.

Quatrebarbes, Constance De; Mazieres, Antoine; Cointet, Jean-Philippe

Monitoring Issues in Digital Public Space-From Data Collection to Issue Mapping Proceedings Article

In: Etudier le Web politique: Regards croisés (WEBPOL), 2015.

Abstract | BibTeX | Links:

288.

Poibeau, Thierry; Ruiz, Pablo

Generating navigable semantic maps from social sciences corpora Proceedings Article

In: Digital Humanities 2015, 2015, (ARXIV : 1507.02020 ).

Abstract | BibTeX | Links:

289.

Raimbault, Juste

Models Coupling Urban Growth and Transportation Network Growth: An Algorithmic Systematic Review Approach ECTQG 2015, Bari Proceedings Article

In: European Colloquium on Theoretical and Quantitative Geography 2015, 2015.

Abstract | BibTeX | Links:

290.

el Jamal, Sarah

Framing Arab Poverty Knowledge Production: A Socio-bibliometric Study Masters Thesis

American University of Beirut, Beirut, Lebanon, 2015.

Abstract | BibTeX | Links:

291.

Turenne, Nicolas; Andro, Mathieu; Corbière, Roselyne; Phan, Tien T

Open data platform for knowledge access in plant health domain: VESPA Mining Miscellaneous

2015.

Abstract | BibTeX | Links:

292.

Kahane, Bernard; Mogoutov, Andrei; Cointet, Jean-Philippe; Villard, Lionel; Larédo, Philippe

A dynamic query to delineate emergent science and technology : the case of nano science and technology Technical Report

2015.

Abstract | BibTeX | Links:

@techreport{Kahane2015,

title = {A dynamic query to delineate emergent science and technology : the case of nano science and technology},

author = {Bernard Kahane and Andrei Mogoutov and Jean-Philippe Cointet and Lionel Villard and Philippe Larédo

},

url = {http://www.sciences-technologies.eu/images/stories/cv/Dynamic_query%20to_delineate_emergent_science_technology_pub.pdf},

year = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

booktitle = {RISIS},

pages = {47-70},

abstract = {Building a larger and relevant database out of an initial seed without relying, because of potential bias, on experts is a common challenge for those who wish to study or track a scientific or technological field. Publications and patents are not the only, but definitely an important component of knowledge generation and dissemination and one of the potential sources for innovation. Scientists communicate their findings through publications. Similarly, patents are legal documents to claim ownership of an invention but they also build a public paper trail of technology advancement. Thus publications and patents are an important, relevant and useful tool to follow and represent results of scientific and technological endeavours (Huang, 2010). Data mining is the extraction of relevant and useful information from large volume of data. Publication and Patent data systematically collected in worldwide databases such as the WoS and Patstat are used to track science and technology dynamic. Data mining faces an important challenge in a context of emergence when new technologies experience explosive growth, evolve rapidly and often cross and subvert existing scientific and technology fields. Emerging science and technology (biotechnology in the 1980s, nanotechnology today, other science and technology fields tomorrow), which often carry strong implications and potentialities for science, business and society, add to the challenge. Their content and dynamic are difficult to track at a time when they are struggling to define who they are, what they include and exclude and how they organize themselves internally. Such is the case for nanotechnology, where the quest for a relevant reliable and replicable way to extract relevant publications and patents, is an on-going process involving several teams worldwide (Glanzel 2003, Noyons 2003, Mogoutov and Kahane, 2007, Porter et al., 2008, Kostoff 2007, Leydesdorff and Zhou, 2007). Nanotechnology is a rapidly evolving emerging and dynamic field. Analysts argue that it is likely to be a “general purpose technology” (Youtie 2008, Laredo et al. 2010) with a potential impact across an entire range of industries and great implications on human health, the environment, sustainability and national security. The perceived potential value of nanotechnologies has led to the increased will of governments, academic institutions, firms and other societal actors to better understand what is happening in the field, who is active and where. There is thus an important challenge to develop robust methods to track the nanotechnology field while it rapidly develops and evolves. As a matter of fact, good quality and comprehensive extraction of data is a prerequisite for meaningful understanding and analysis. Huang 2010 as well as L'huillery et al. 2010 have compared the different methodologies developed, and reported on their robustness as well as on the similarities and discrepancies of results obtained. They confirmed the robustness and interest of the evolutionary lexical methodology we have developed (Mogoutov and Kahane, 2007). At that time, three requirements were central to the approach developed. First, it should not depend upon experts. Indeed, the on-going and extensive use of expert-based approaches is costly, time-consuming, and challenging to replicate such that the same outcomes result. This is an important restriction when facing a highly dynamic field where borders are constantly evolving requiring terminology requalification at different times. Second, it should allow updates in order to replicate and compare results while the nanotechnology field (and its lexicon) develop and expand. And third, it should be able to track the relative evolution of subfields inside nanotechnologies: in 2007 we translated this into a third requirement of being “modular”. While the initial development of our methodology was performed in order to extract data from 1998 to 2006, we later engaged in producing an update that could expand the database backward and forward in order to cover years 1991-2011. In our initial methodology, the selection of relevant terms was performed with knowledge built and keywords selected on one single year (2003). A simple solution was to reproduce the selection of terms for 2011, driving us to two semantic universes of nanotechnology, respectively built in 2003 and 2011. However Bonaccorsi (2010) has demonstrated that in a dynamic field such as nanotechnology, keywords often display short life and experience a type of Darwinian selection process. Using this approach, the characterisation of the evolution of the field over 20 years would have only relied on two years for the identification of relevant keywords. There would thus be a risk that we miss the richness of the exploration that shapes the dynamics of knowledge production. Not considering transient keywords that might have emerged and then disappeared, would be a serious drawback in such a dynamic field. There are multiple reasons for this. Two are of particular importance. One is about the learning that a stream of research, even if it goes on with a life of its own, has been experimented but proved not to be useful for colleagues at the time. The other lies in the fact that streams of research which for a while turn to be a dead end, can nevertheless reappear later and become a key resource as demonstrated in many instances. Such a limitation becomes even more visible when taking the whole period under review for identifying relevant keywords. This drove us to add a fourth requirement for such an approach: What is needed is a methodology, which allows us to incorporate and discard in real time relevant terms as they appear and disappear in the nanotechnology story. We need a methodology that allows us to track keywords as characters appear and disappear along the storyline in a movie. Thus, using nanotechnology as a showcase, we here report a data search strategy made of three consecutive steps. As in all the data search strategies for nanotechnology, we start with an initial seed built through the nanostring. We then use the same principle that we applied in our previous approach, that is expanding the initial seed through a dual process where additional keywords observed during a given period are sorted according to their internal specificity (e.g. the extent to which they provide value added meaning to a publication) and then tested in the overall database for ‘external specificity’ (e.g. the ratio of articles in the seed vs. articles in the overall database of publications). This selection of keywords is first applied on the whole dataset covering the 20 years, enabling a “static extension”. The third step builds the “dynamic extension” where additional keywords are identified through a yearly analysis of internal specificity within the nanostring, and selected depending upon their ‘external specificity’. Besides being applied in a specific way for nanotechnology, we claim that such a three steps strategy has universal value to describe the dynamics of emergent and fast evolving fields, transcending pre-existing classifications.},

keywords = {},

pubstate = {published},

tppubtype = {techreport}

}

Close

Building a larger and relevant database out of an initial seed without relying, because of potential bias, on experts is a common challenge for those who wish to study or track a scientific or technological field. Publications and patents are not the only, but definitely an important component of knowledge generation and dissemination and one of the potential sources for innovation. Scientists communicate their findings through publications. Similarly, patents are legal documents to claim ownership of an invention but they also build a public paper trail of technology advancement. Thus publications and patents are an important, relevant and useful tool to follow and represent results of scientific and technological endeavours (Huang, 2010). Data mining is the extraction of relevant and useful information from large volume of data. Publication and Patent data systematically collected in worldwide databases such as the WoS and Patstat are used to track science and technology dynamic. Data mining faces an important challenge in a context of emergence when new technologies experience explosive growth, evolve rapidly and often cross and subvert existing scientific and technology fields. Emerging science and technology (biotechnology in the 1980s, nanotechnology today, other science and technology fields tomorrow), which often carry strong implications and potentialities for science, business and society, add to the challenge. Their content and dynamic are difficult to track at a time when they are struggling to define who they are, what they include and exclude and how they organize themselves internally. Such is the case for nanotechnology, where the quest for a relevant reliable and replicable way to extract relevant publications and patents, is an on-going process involving several teams worldwide (Glanzel 2003, Noyons 2003, Mogoutov and Kahane, 2007, Porter et al., 2008, Kostoff 2007, Leydesdorff and Zhou, 2007). Nanotechnology is a rapidly evolving emerging and dynamic field. Analysts argue that it is likely to be a “general purpose technology” (Youtie 2008, Laredo et al. 2010) with a potential impact across an entire range of industries and great implications on human health, the environment, sustainability and national security. The perceived potential value of nanotechnologies has led to the increased will of governments, academic institutions, firms and other societal actors to better understand what is happening in the field, who is active and where. There is thus an important challenge to develop robust methods to track the nanotechnology field while it rapidly develops and evolves. As a matter of fact, good quality and comprehensive extraction of data is a prerequisite for meaningful understanding and analysis. Huang 2010 as well as L'huillery et al. 2010 have compared the different methodologies developed, and reported on their robustness as well as on the similarities and discrepancies of results obtained. They confirmed the robustness and interest of the evolutionary lexical methodology we have developed (Mogoutov and Kahane, 2007). At that time, three requirements were central to the approach developed. First, it should not depend upon experts. Indeed, the on-going and extensive use of expert-based approaches is costly, time-consuming, and challenging to replicate such that the same outcomes result. This is an important restriction when facing a highly dynamic field where borders are constantly evolving requiring terminology requalification at different times. Second, it should allow updates in order to replicate and compare results while the nanotechnology field (and its lexicon) develop and expand. And third, it should be able to track the relative evolution of subfields inside nanotechnologies: in 2007 we translated this into a third requirement of being “modular”. While the initial development of our methodology was performed in order to extract data from 1998 to 2006, we later engaged in producing an update that could expand the database backward and forward in order to cover years 1991-2011. In our initial methodology, the selection of relevant terms was performed with knowledge built and keywords selected on one single year (2003). A simple solution was to reproduce the selection of terms for 2011, driving us to two semantic universes of nanotechnology, respectively built in 2003 and 2011. However Bonaccorsi (2010) has demonstrated that in a dynamic field such as nanotechnology, keywords often display short life and experience a type of Darwinian selection process. Using this approach, the characterisation of the evolution of the field over 20 years would have only relied on two years for the identification of relevant keywords. There would thus be a risk that we miss the richness of the exploration that shapes the dynamics of knowledge production. Not considering transient keywords that might have emerged and then disappeared, would be a serious drawback in such a dynamic field. There are multiple reasons for this. Two are of particular importance. One is about the learning that a stream of research, even if it goes on with a life of its own, has been experimented but proved not to be useful for colleagues at the time. The other lies in the fact that streams of research which for a while turn to be a dead end, can nevertheless reappear later and become a key resource as demonstrated in many instances. Such a limitation becomes even more visible when taking the whole period under review for identifying relevant keywords. This drove us to add a fourth requirement for such an approach: What is needed is a methodology, which allows us to incorporate and discard in real time relevant terms as they appear and disappear in the nanotechnology story. We need a methodology that allows us to track keywords as characters appear and disappear along the storyline in a movie. Thus, using nanotechnology as a showcase, we here report a data search strategy made of three consecutive steps. As in all the data search strategies for nanotechnology, we start with an initial seed built through the nanostring. We then use the same principle that we applied in our previous approach, that is expanding the initial seed through a dual process where additional keywords observed during a given period are sorted according to their internal specificity (e.g. the extent to which they provide value added meaning to a publication) and then tested in the overall database for ‘external specificity’ (e.g. the ratio of articles in the seed vs. articles in the overall database of publications). This selection of keywords is first applied on the whole dataset covering the 20 years, enabling a “static extension”. The third step builds the “dynamic extension” where additional keywords are identified through a yearly analysis of internal specificity within the nanostring, and selected depending upon their ‘external specificity’. Besides being applied in a specific way for nanotechnology, we claim that such a three steps strategy has universal value to describe the dynamics of emergent and fast evolving fields, transcending pre-existing classifications.

Close

293.

Larédo, Philippe; Robinson, Douglas K. R.; Delemarle, Aurélie; Lagnau, Axel; Revollo, Michel; Villard, Lionel

Mapping and characterising the dynamics of emerging technologies to inform policy Technical Report

2015, (hal-01275987 , version 1 ).

Abstract | BibTeX | Links:

@techreport{laredo2015mapping,

title = {Mapping and characterising the dynamics of emerging technologies to inform policy},

author = {Philippe Larédo and Douglas K.R. Robinson and Aurélie Delemarle and Axel Lagnau and Michel Revollo and Lionel Villard},

url = {https://hal.archives-ouvertes.fr/hal-01275987/},

year = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

school = {Université paris Est, IFRIS},

abstract = {The project aims at developing a framework and its tools for mapping the dynamics of emerging technologies (MDET) Emerging technologies are a growing issue for policymaking, as is mirrored by the new European FET programme. Policies and funding agencies face ‘voices’ by researchers asking for public support of what they consider as a new promising technology. This happens when we are past the initial Référence du formulaire : ANR-FORM-090601-01-01 2/15 exploration stage of ‘frontier research’. Initial claims have been recognised as relevant and this has started attracting other researchers. How can their claims be assessed and how can on-‐‑going developments be characterised? To answer this question, we propose a framework that has been developed in three steps. The analysis of a number of case studies (3 by our colleagues from SPRU and 3 by IFRIS) has enabled to identify key dimensions. In return these have driven us to mobilise, combine and complement existing theories. In a third step we have tested the existence of instruments to characterise the situation, and, for some aspects, this has driven us to propose new developments. The report presents both the framework and the tools (with selected examples to illustrate their deployment). The framework is made of 5 dimensions that are visualised in the 5 petals flower of the dynamics of emerging technology. It builds on the proposal by Nedeva that, to understand the dynamics of science, one needs to consider both field and space characteristics. Field relates to the socio-‐‑cognitive dynamics for which scientometrics proposes multiple analytical instruments. They help characterising the content of the emerging technology, the core set of concepts, theories and methods that constitute it; at the same time it helps identifying the key actors and the networks that they form (dimension 1: delineating a technology field). Far less work has been dealing with “Space” that is the source of the four other petals. The second dimension deals with field-‐‑level institutional conditions: how are ideas and products circulated and discussed. This deals mostly with journals, conferences and professional associations that organise them. One result of our case studies has been to emphasize the role of ‘champions’ identifying four types, of which ‘institutional entrepreneurs’ (who foster enactment of the field in different environments). One central characteristics of champions is that they propose visions of the field, and corresponding expectations. This builds our third dimension: promise champions & expectations. Research does not happen in a vacuum: researchers are employed by organisations, funded by programmes, and their field may or not become a policy priority. Barre et al. have proposed to analyse ‘national systems’ and their policies at these 3 complementary levels: orientation, programming and performance. This builds our fourth dimension that aims at characterising the field ‘embedding in research’. However technologies exhibit a second critical dimension, their role in shaping or transforming markets which has seldom been taken into consideration in the analysis of emergence: here we consider 3 aspects that build the fifth dimension ‘embedding in markets’: the existence of ‘niche markets’ that enable entering in a learning curve; arenas that help actors build collective visions and roadmaps and the construction of ‘market infrastructures’ that will enable market generalisation (through rules, norms & values). },

note = {hal-01275987 , version 1 },

keywords = {},

pubstate = {published},

tppubtype = {techreport}

}

Close

The project aims at developing a framework and its tools for mapping the dynamics of emerging technologies (MDET) Emerging technologies are a growing issue for policymaking, as is mirrored by the new European FET programme. Policies and funding agencies face ‘voices’ by researchers asking for public support of what they consider as a new promising technology. This happens when we are past the initial Référence du formulaire : ANR-FORM-090601-01-01 2/15 exploration stage of ‘frontier research’. Initial claims have been recognised as relevant and this has started attracting other researchers. How can their claims be assessed and how can on-‐‑going developments be characterised? To answer this question, we propose a framework that has been developed in three steps. The analysis of a number of case studies (3 by our colleagues from SPRU and 3 by IFRIS) has enabled to identify key dimensions. In return these have driven us to mobilise, combine and complement existing theories. In a third step we have tested the existence of instruments to characterise the situation, and, for some aspects, this has driven us to propose new developments. The report presents both the framework and the tools (with selected examples to illustrate their deployment). The framework is made of 5 dimensions that are visualised in the 5 petals flower of the dynamics of emerging technology. It builds on the proposal by Nedeva that, to understand the dynamics of science, one needs to consider both field and space characteristics. Field relates to the socio-‐‑cognitive dynamics for which scientometrics proposes multiple analytical instruments. They help characterising the content of the emerging technology, the core set of concepts, theories and methods that constitute it; at the same time it helps identifying the key actors and the networks that they form (dimension 1: delineating a technology field). Far less work has been dealing with “Space” that is the source of the four other petals. The second dimension deals with field-‐‑level institutional conditions: how are ideas and products circulated and discussed. This deals mostly with journals, conferences and professional associations that organise them. One result of our case studies has been to emphasize the role of ‘champions’ identifying four types, of which ‘institutional entrepreneurs’ (who foster enactment of the field in different environments). One central characteristics of champions is that they propose visions of the field, and corresponding expectations. This builds our third dimension: promise champions & expectations. Research does not happen in a vacuum: researchers are employed by organisations, funded by programmes, and their field may or not become a policy priority. Barre et al. have proposed to analyse ‘national systems’ and their policies at these 3 complementary levels: orientation, programming and performance. This builds our fourth dimension that aims at characterising the field ‘embedding in research’. However technologies exhibit a second critical dimension, their role in shaping or transforming markets which has seldom been taken into consideration in the analysis of emergence: here we consider 3 aspects that build the fifth dimension ‘embedding in markets’: the existence of ‘niche markets’ that enable entering in a learning curve; arenas that help actors build collective visions and roadmaps and the construction of ‘market infrastructures’ that will enable market generalisation (through rules, norms & values).

Close

294.

Cortext,

Training Book CorTexT Workshop

2015, (RISIS short course type A, 6 -7 October 2015).

BibTeX

295.

Cambrosio, Alberto; Bourret, Pascale; Rabeharisoa, Vololona; Callon, Michel

Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-Genomic Practices? Journal Article

In: TECNOSCIENZA: Italian Journal of Science & Technology Studies, vol. 5, no. 1, pp. 11-42, 2014.

Abstract | BibTeX | Links:

296.

Granjou, Celine; Mauz, Isabelle; Barbier, Marc; Breucker, Philippe

Making taxonomy environmentally relevant. Insights from an all taxa biodiversity inventory Journal Article

In: Environmental Science & Policy, vol. 38, pp. 254-262, 2014, (https://doi.org/10.1016/j.envsci.2014.01.004).

Abstract | BibTeX | Links:

@article{granjou2014making,

title = {Making taxonomy environmentally relevant. Insights from an all taxa biodiversity inventory},

author = {Celine Granjou and Isabelle Mauz and Marc Barbier and Philippe Breucker},

url = {https://doi.org/10.1016/j.envsci.2014.01.004},

doi = {10.1016/j.envsci.2014.01.004},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

journal = {Environmental Science & Policy},

volume = {38},

pages = {254-262},

publisher = {Elsevier},

abstract = {For several decades taxonomy has been marginalized in academic labs and universities. Today, rising concerns over biodiversity and ecosystem services are creating an unprecedented opportunity for it to be viewed as a crucially relevant field. This article aims to scrutinize how the biodiversity concerns entail new collaboration designs between taxonomists and nature managers and between taxonomists and ecologists. Our key point is that taxonomy's environmental relevance is not given: instead, taxonomic data have to be made relevant by taxonomists and their partners in specific collaborative and organizational arrangements. The article draws on an empirical study of an All Taxa Biodiversity Inventory (ATBI) in a national park in the French Alps, including an ethnographic survey combined with scientometric analysis. It was found that the collaboration initiated in the ATBI between taxonomists, ecologists and the park managers was paved with disappointments and reorientations because it partly failed to address the tension between a taxonomic and an ecological approach to the relevance of taxonomic data. The rise of biodiversity and ecosystem services concerns constitutes a “double-edged sword” for taxonomists: while there is greater opportunity for taxonomists to render their work visible through new research collaboration arrangements with ecologists, it also entails a risk that they remain mere data providers for nature managers and ecologists interested in ecosystem functioning.},

note = {https://doi.org/10.1016/j.envsci.2014.01.004},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

297.

Leydesdorff, Loet; Goldstone, Robert L

Interdisciplinarity at the journal and specialty level: The changing knowledge bases of the journal Cognitive Science Journal Article

In: Journal of the Association for Information Science and Technology, vol. 65, no. 1, pp. 164-177, 2014, (https://doi.org/10.1002/asi.22953).

Abstract | BibTeX | Links:

298.

Mazieres, Antoine; Trachman, Mathieu; Cointet, Jean-Philippe; Coulmont, Baptiste; Prieur, Christophe

Deep tags: toward a quantitative analysis of online pornography Journal Article

In: Porn Studies, vol. 1, no. 1-2, pp. 80–95, 2014.

Abstract | BibTeX | Links:

299.

Omodei, Elisa; Cointet, Jean-Philippe

Modélisation multiniveau de la morphogenèse de familles de citations Journal Article

In: Revue Sciences/Lettres, no. 2, 2014.

Abstract | BibTeX | Links:

300.

Tancoigne, Elise; Barbier, Marc; Cointet, Jean-Philippe; Richard, Guy

The place of agricultural sciences in the literature on ecosystem services Journal Article

In: Ecosystem Services, vol. 10, pp. 35-48, 2014.

Abstract | BibTeX | Links:

301.

Venturini, Tommaso; Baya-Laffite, Nicolas; Cointet, Jean-Philippe; Gray, Ian; Zabban, Vinciane; Pryck, Kari De

Three maps and three misunderstandings: A digital mapping of climate diplomacy Journal Article

In: Big Data & Society, vol. 1, no. 2, pp. 1-19, 2014.

Abstract | BibTeX | Links:

@article{venturini2014three,

title = {Three maps and three misunderstandings: A digital mapping of climate diplomacy},

author = {Tommaso Venturini and Nicolas Baya-Laffite and Jean-Philippe Cointet and Ian Gray and Vinciane Zabban and Kari De Pryck},

url = {https://doi.org/10.1177/2053951714543804},

doi = {10.1177/2053951714543804},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

journal = {Big Data & Society},

volume = {1},

number = {2},

pages = {1-19},

publisher = {SAGE Publications Sage UK: London, England},

abstract = {This article proposes an original analysis of the international debate on climate change through the use of digital methods. Its originality is twofold. First, it examines a corpus of reports covering 18 years of international climate negotiations, a dataset never explored before through digital techniques. This corpus is particularly interesting because it provides the most consistent and detailed reporting of the negotiations of the United Nations Framework Convention on Climate Change. Second, in this paper we test an original approach to text analysis that combines automatic extractions and manual selection of the key issue-terms. Through this mixed approach, we tried to obtain relevant findings without imposing them on our corpus. The originality of our corpus and of our approach encouraged us to question some of the habits of digital research and confront three common misunderstandings about digital methods that we discuss in the first part of the article (section ‘Three misunderstandings on digital methods in social sciences’). In addition to reflecting on methodology, however, we also wanted to offer some substantial contribution to the understanding of UN-framed climate diplomacy. In the second part of the article (section ‘Three maps on climate negotiations’) we will therefore introduce some of the preliminary results of our analysis. By discussing three visualizations, we will analyze the thematic articulation of the climatic negotiations, the rise and fall of these themes over time and the visibility of different countries in the debate. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

302.

Indukaev, Andrey; Mogoutov, Andrei; Lepinay, Vincent

Computer scientists from the former USSR: international mobility patterns and scientific success Conference

no. 7, Russia, 2014, ISBN: 978-1-4503-2889-0, (CEE-SECR '14: Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia).

Abstract | BibTeX | Links:

@conference{Indukaev2014,

title = {Computer scientists from the former USSR: international mobility patterns and scientific success},

author = {Andrey Indukaev and Andrei Mogoutov and Vincent Lepinay},

url = {https://dl.acm.org/doi/abs/10.1145/2687233.2687257?casa_token=2sPTTtPwEcAAAAAA:BHTooRNy0D12CGa8hQtd3o7q-HUFqE-l3jNbQWfwb6lSImuRRdFyRSyn-D2a8hoI5wuS1MibjPa2XA

https://dl.acm.org/doi/proceedings/10.1145/2687233},

doi = {10.1145/2687233.2687257},

isbn = {978-1-4503-2889-0},

year  = {2014},

date = {2014-10-23},

urldate = {2014-10-23},

number = {7},

pages = {1-9},

address = {Russia},

abstract = {In the present paper, we develop a new method of longitudinal analysis of bibliographic data in order to explore international mobility of researchers from the former USSR through their publication activity.

Firstly, by means of name recognition algorithm using machine learning, we extracted from Web of Science a dataset of publications of more than three thousand of the most active computer scientists from the former Soviet Union. Then, the information on individuals' scientific production is presented in the form of a sequence of states which summarizes the affiliation location for all articles published by a certain author in a given period.

We use Optimal Matching algorithm to measure the degree of difference (which, in the sequence analysis, is called distance) between the sequences of individual researchers' activity. The distance between sequences is analyzed by means of hierarchical clustering, which permits us to group computer scientists from the former USSR in several classes according to publication activity patterns.

Not surprisingly, ex-soviet researchers having permanent affiliation in their home country are cited less than those who have permanent foreign affiliation. However, those who switch affiliations from former USSR to foreign or the other way round and publish in internationalized groups have one of the highest levels of citation per article among newcomers in discipline.

Our research shows that scientific mobility of successful authors can be not only unidirectional, but can take form of a complex go-and-return pattern, the claim which relativizes the "brain drain" paradigm in the analysis of migration of highly qualified specialists from the former URSS. On the methodological level, we propose a new method for analyzing scientific activity which takes into account its longitudinal dynamics. This method can be used for research questions going far beyond the scope of migration studies.},

note = {CEE-SECR '14: Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Close

303.

Barbier, Marc; Cointet, Jean-Philippe

Socio-semantic dynamics for digital humanities: Methodology and epistemology of large textual corpora analysis Conference

2014.

Abstract | BibTeX | Links:

@conference{barbier2014sociosemantic,

title = {Socio-semantic dynamics for digital humanities: Methodology and epistemology of large textual corpora analysis},

author = {Marc Barbier and Jean-Philippe Cointet},

url = {https://easst.net/wp-content/uploads/2014/08/easst2014.pdf},

year  = {2014},

date = {2014-01-01},

abstract = {Until recent time, the description, light-modeling and interpretation of socio-cognitive dynamics of science-society relations and social media relationships required a constructivist approach, involving collecting, reading, classifying and interpreting tasks performed by scholars examining sets of digital data (texts, archives, structured databases, websites, blogs, etc.). The growing mass of data produced in the so-called Knowledge Society owes a lot to the acceleration and profusion of digital tools that are now widely used in different areas of human activities: work, culture, leisure, political expression, etc. Social scientists now largely acknowledge that the various modes of interaction brought by new information and communication technologies are changing the very nature of micro-politics and the expression of the self. In our views the conditions for producing knowledge in social sciences and humanities more widely are changed too. New digital infrastructures specifically designed for social sciences and humanities make it possible to equip scientists with tools that enable them to tackle the complexity of heterogeneous textual corpora dynamics and to develop innovative analytical methodologies that will bring new insights and renewed capacities to investigate contemporary issues. The aim of this communication is to propose (1) to discuss some of the epistemic problems that surge from the use of digital platforms ambitioning the development of our capacities of enquiry of knowledge production in society; (2) to present the main developments and experience that had been led within the CorTexT plateform as well as their driving principles.},

howpublished = {Communication to the EASST Conference, Torun, Pologne},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Close

304.

Bourret, Pascale; Keating, Peter; Cambrosio, Alberto

From BRCA to BRCAness: tales of translational research Book Chapter

In: Breast Cancer Gene Research and Medical Practices: Transnational Perspectives in the time of BRCA, pp. 175-193, Routledge, 2014.

Abstract | BibTeX | Links:

@inbook{gibbon2014breast,

title = {From BRCA to BRCAness: tales of translational research},

author = {Pascale Bourret and Peter Keating and Alberto Cambrosio},

url = {https://www.researchgate.net/publication/264556063_From_BRCA_to_BRCAness_tales_of_translational_research},

year  = {2014},

date = {2014-01-01},

booktitle = {Breast Cancer Gene Research and Medical Practices: Transnational Perspectives in the time of BRCA},

pages = {175-193},

publisher = {Routledge},

abstract = {The discovery of the two inherited susceptibility genes BRCA1 and BRCA2 in the mid-1990s created the possibility of predictive genetic testing and led to the establishment of specific medical programmes for those at high risk of developing breast cancer in the UK, US and Europe. In the intervening fifteen years, the medical institutionalisation of these knowledge-practices and accompanying medical techniques for assessing and managing risk have advanced at a rapid pace across multiple national and transnational arenas, whilst also themselves constituting a highly mobile and shifting terrain.



This unique edited collection brings together cross-disciplinary social science research to present a broad global comparative understanding of the implications of BRCA gene research and medical practices. With a focus on time-economies that unfold locally, nationally and transnationally (including in Brazil, Canada, France, Germany, India, Italy, the UK and the USA), the essays in this volume facilitate a re-reading of concepts such as prevention, kinship and heredity, and together offer a unique, timely and comparative perspective on these developments.

The book provides a coherent structure for examining the diversity of practices and discourses that surround developments linked to BRCA genetics, and to the evolving field of genetics more broadly. It will be of interest to students and scholars of anthropology, sociology, history of science, STS, public health and bioethics.},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

Close

305.

Steinfeld, Nili; Lev-On, Azi

Well-done, Mr. Mayor!: Linguistic analysis of municipal facebook pages Proceedings Article

In: Proceedings of the 15th Annual International Conference on Digital Government Research, pp. 273-279, ACM 2014, (https://doi.org/10.1145/2612733.2612763).

Abstract | BibTeX | Links:

@inproceedings{steinfeld2014well,

title = {Well-done, Mr. Mayor!: Linguistic analysis of municipal facebook pages},

author = {Nili Steinfeld and Azi Lev-On},

url = {http://delivery.acm.org/10.1145/2620000/2612763/p273-steinfeld.pdf?ip=193.50.159.53&id=2612763&acc=ACTIVE%20SERVICE&key=7EBF6E77E86B478F%2E61E9A885BAD764B5%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1552899282_c684371c6e1983abb09f4803232dbb4c},

doi = {/10.1145/2612733.2612763},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

booktitle = {Proceedings of the 15th Annual International Conference on Digital Government Research},

pages = {273-279},

organization = {ACM},

abstract = {The increasing use of social networks has given rise to a new kind of relations between residents and authorities at the municipal level, where residents can speak directly to administrators and representatives, can take part in open discussions, and may have more direct involvement and influence on local affairs. The more direct democracy facilitated by social media outlets fascinates communication and political science researchers. But while most of their attention is drawn to national politics, the municipal arena can be even more affected by these new means of direct communication. This paper focuses on municipal administration on Facebook, and analyzes the discourse that has developed between citizens and local administrators on municipal Facebook pages, using automatic digital tools.

The formal Facebook pages of all of the cities in Israel were extracted using digital tools, and all posts and comments published on these pages in a period of six months were analyzed using automatic linguistic analysis tools that provided information regarding the use and frequencies of words and terms in the texts.

The paper presents the prominent topics, use of language, and basic features of citizens--municipalities interactions in formal Facebook pages. The study discusses the findings, their implications, and the advantages and limitations of using digital tools to analyze texts in a digital research field.},

note = {https://doi.org/10.1145/2612733.2612763},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

Close

306.

Schoen, Antoine; Paradeise, Catherine; Cauchard, Lionel; Noël, Marianne

A double shift in researchers’ activity profiles: an actor-based analysis of the making of quality in high standing academic departments Proceedings Article

In: STI 2014 Leiden, “Context Counts: Pathways to Master Big and Little Data”, CWTS 2014.

Abstract | BibTeX | Links:

307.

Bourreau, Pierre; Poibeau, Thierry

Mapping the Economic Crisis: Some Preliminary Investigations Proceedings Article

In: ACL Language Technologies and Computational Social Science, 2014.

Abstract | BibTeX | Links:

308.

Lepinay, Vincent; Mogoutov, Andrei; Cointet, Jean-Philippe; Villard, Lionel

Russian computer scientists, local and abroad: mobility and collaboration Proceedings Article

In: Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia, pp. 18, ACM 2014, (https://doi.org/10.1145/2687233.2687254).

Abstract | BibTeX | Links:

309.

Omodei, Elisa; Cointet, Jean-Philippe; Poibeau, Thierry

Mapping the natural language processing domain: Experiments using the acl anthology Proceedings Article

In: LREC 2014, the Ninth International Conference on Language Resources and Evaluation, pp. 2972-2979, ELRA 2014.

Abstract | BibTeX | Links:

310.

Omodei, Elisa

Modeling the socio-semantic dynamics of scientific communities PhD Thesis

Ecole normale supérieure-ENS PARIS, 2014, (HAL Id : tel-01097702 , version 1).

Abstract | BibTeX | Links:

@phdthesis{omodei2014modeling,

title = {Modeling the socio-semantic dynamics of scientific communities},

author = {Elisa Omodei},

url = {https://tel.archives-ouvertes.fr/tel-01097702/},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

school = {Ecole normale supérieure-ENS PARIS},

abstract = {Comment les structures sociales et sémantiques d'une communauté scientifique guident-elles les dynamiques de collaboration à venir ? Dans cette thèse, nous combinons des techniques de traitement automatique des langues et des méthodes provenant de l'analyse de réseaux complexes pour analyser une base de données de publications scientifiques dans le domaine de la linguistique computationnelle : l'ACL Anthology. Notre objectif est de comprendre le rôle des collaborations entre les chercheurs dans la construction du paysage sémantique du domaine, et, symétriquement, de saisir combien ce même paysage influence les trajectoires individuelles des chercheurs et leurs interactions. Nous employons des outils d’analyse du contenu textuel pour extraire des textes des publications les termes correspondant à des concepts scientifiques. Ces termes sont ensuite connectés aux chercheurs pour former un réseau socio-sémantique, dont nous modélisons la dynamique à différentes échelles. Nous construisons d’abord un modèle statistique, à base de régressions logistiques multivariées, qui permet de quantifier le rôle respectif des propriétés sociales et sémantiques de la communauté sur la dynamique microscopique du réseau socio-sémantique. Nous reconstruisons par la suite l’évolution du champ de la linguistique computationelle en créant différentes cartographies du réseau sémantique, représentant les connaissances produites dans le domaine, mais aussi le flux d’auteurs entre les différents champs de recherche du domaine. En résumé, nos travaux ont montré que la combinaison des méthodes issues du traitement automatique des langues et de l'analyse des réseaux complexes permet d'étudier d'une manière nouvelle l'évolution des domaines scientifiques. },

note = {HAL Id : tel-01097702 , version 1},

keywords = {},

pubstate = {published},

tppubtype = {phdthesis}

}

Close

311.

Chavalarias, David; Cointet, Jean-Philippe

Phylomemetic patterns in science evolution - the rise and fall of scientific fields Journal Article

In: PloS one, vol. 8, no. 2, pp. e54847, 2013.

Abstract | BibTeX | Links:

312.

Keating, Peter; Cambrosio, Alberto; Nelson, Nicole; Mogoutov, Andrei; Cointet, Jean-Philippe

Therapy’s shadow: a short history of the study of resistance to cancer chemotherapy Journal Article

In: Frontiers in pharmacology, vol. 4, pp. 58, 2013.

Abstract | BibTeX | Links:

313.

Bahi-Jaber, Narges; Mogoutov, Andrei; Elmhiri, Ghada; Abdennebi-Najar, Latifa

Animal models and fetal programming: an integrative literature approach Proceedings Article

In: Journal of Developmental Origins of Health and Disease, 8th World Congress on Developmental Origins of Health and Disease, pp. 54-55, 2013, (DOHaD13-1667).

Abstract | BibTeX | Links:

314.

Massad, D; Omodei, Elisa; Strohecker, Carol; Xu, Yiqun; Garland, Joshua; Zhang, Mengsen; Seoane, Luís F.

Unfolding History: Classification and analysis of written history as a complex system Proceedings Article

In: Complex Systems Summer School Proceedings, 2013.

Abstract | BibTeX | Links:

315.

Parasie, Sylvain; Cointet, Jean-Philippe; O’Mahony, Michael

Online press serving local democracy Journal Article

In: Revue française de science politique, vol. 62, no. 1, pp. 45–70, 2012.

Abstract | BibTeX | Links:

316.

Schoen, Antoine; Villard, Lionel; Laurens, Patricia; Cointet, Jean-Philippe; Heimeriks, Gaston; Alkemade, Floortje

The Network Structure of Technological Developments; Technological Distance as a Walk on the Technology Map Proceedings Article

In: 17th International Conference on Science and Technology Indicators, pp. 733-742, 2012, (oai:HAL:hal-00809632v1).

Abstract | BibTeX | Links:

317.

Barbier, Marc; Cointet, Jean-Philippe

Reconstruction of Socio-Semantic Dynamics in Sciences-Society Networks: Methodology and Epistemology of large textual corpora analysis Proceedings Article

In: Science and Democracy Network, Annual Meeting, 2012.

Abstract | BibTeX | Links:

@inproceedings{barbier2012reconstruction,

title = {Reconstruction of Socio-Semantic Dynamics in Sciences-Society Networks: Methodology and Epistemology of large textual corpora analysis},

author = {Marc Barbier and Jean-Philippe Cointet},

url = {https://www.researchgate.net/publication/261774173_Reconstruction_of_Socio-Semantic_Dynamics_in_Sciences-Society_Networks_Methodology_and_Epistemology_of_large_textual_corpora_analysis_Communication_to_the_Science_and_Democracy_Network_Annual_Meeting_},

year  = {2012},

date = {2012-01-01},

booktitle = {Science and Democracy Network, Annual Meeting},

abstract = {Until recent time, the description, light-modeling and interpretation of socio-cognitive dynamics of science-society relations required a constructivist approach, involving collecting, reading, classifying and interpreting tasks performed by scholars examining sets of texts, archives, interviews, etc. The growing mass of data produced in the so-called Knowledge Society owes a lot to the acceleration and profusion of digital tools that are now widely used in different areas of human activities: work, culture, leisure, political expression, etc. Social scientists now largely acknowledge that the various modes of interaction brought by new information and communication technologies are changing the very nature of micro-politics and the expression of the self. In our views the conditions for producing knowledge from a Science & Technology Studies point of view are changed too, for at least three reasons: • the deluge of electronic sources of data overloads our capacity of enquiry, • S&TS dynamics now intertwine heterogeneous actors, matters of facts and matters of concerns coming from different arenas call for an integrated understanding of knowledge production and circulation. • Nevertheless, new digital infrastructures specifically designed for social sciences and humanities make it possible to equip scientists with tools that enable them to tackle the complexity of heterogeneous textual corpora dynamics and to develop innovative analytical methodologies that will bring new insights and renewed capacities to investigate contemporary issues.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

Close

318.

Mogoutov, Andrei; Cointet, Jean-Philippe; Borra, Erik; Stevenson, Michael; Helmond, Anne; Gerlitz, Carolin; Rogers, Richard; Sanchez, Natalia; Venturini, Tommaso; Severo, Marta; Rieder, Bernhard

The Digital Methods Initiative Summerschool 2012 Online

(DMI), The Digital Methods Initiative (Ed.): 2012, visited: 02.07.2012.

Abstract | BibTeX | Links:

@online{Mogoutov2012,

title = {The Digital Methods Initiative Summerschool 2012},

author = {Andrei Mogoutov and Jean-Philippe Cointet and Erik Borra and Michael Stevenson and Anne Helmond and Carolin Gerlitz and Richard Rogers and Natalia Sanchez and Tommaso Venturini and Marta Severo and Bernhard Rieder},

editor = {The Digital Methods Initiative (DMI)},

url = {https://digitalmethods.net/Dmi/Summerschool2012Presentations

https://digitalmethods.net/Dmi/Summerschool2012Schedule

https://digitalmethods.net/Dmi/Summerschool2012Workshops},

year = {2012},

date = {2012-07-02},

urldate = {2012-07-02},

abstract = {The Digital Methods Initiative Summerschool 2012 workshops

Crawling & Scraping

The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.

Tracking the Trackers

In this short workshop you will learn how to map the cookie ecology related to a set of websites using the DMI Tracker Tracker tool and Gephi. The Tracker Tracker tool was conceived at the Digital Methods Winterschool 2012 in January. It is build on top of the anti-tracking plugin www.ghostery.com and allows to identify the invisible web, devices that track user activities online and the services associated to them. In order to prepare for this workshop we recommend reading the related projects and materials listed below. Please download and install Gephi athttps://gephi.org/ before the workshop starts so you can also learn how to visualize your results.

CorText: Open Platform for Heterogeneous Data Collection, Analysis and Visualization

IFRIS Digital Platform has developed a powerful web based software solution to address the needs of social scientists conducting empirical studies in the fields of Media Studies, Science and Technology Studies and Digital Humanities. The software platform CorText is an open online service for heterogeneous data analysis, modeling and visualization. The platform has the ambition to provide powerful data mash-up capacities transforming various data sources to structured analytical database. CorText platform offers a large spectrum of analytical tools integrating methods and approaches coming from Data Mining, computational linguistics, dynamical systems modeling, (post-)network analysis.

Query Design & List Building

How does one build a source set? How does one identify key words? How to query the source sets for the key words?

Actor-Network Textual Analysis (ANTA)

Having its roots in the laboratories studies movement, actor-network theory has always had in ethnography its privileged research method. Still, at least in the words of its founders, ANT has always longed for a more quantitative grasp of its objects. Until recently all the attempts to devise an integrated methodology for actor-network text analysis were frustrated by the scarcity of text to be analyzed. A part from scientific literature and media discourses it was difficult to find large amount of digitized text to investigate. In the last few years, this bottleneck has been spectacularly removed by the advent of electronic media and of digital traceability. The deluge of digitized texts made available online by all sort of actors (institutions, individuals, associations, media, activists, scientists…) calls for new tools of analysis at the same time more user-friendly and more powerful. ANTA or Actor-Network Analyzer is one of such tools. It has been developed at Sciences Po médialab to offer social researchers a simple text-analysis toolkit attuned with the theoretical tenets of actor-network theory.

Working with Networks: Analysis and Visualization (Gephi)

Network analysis has become a common technique for working with various types of data. Especially the gephi graph analysis toolkit has made the method significantly more accessible by providing a relatively easy to use interface for exploring and visualizing graphs. This tutorial will introduce a number of basic concepts from graph theory and explicate them by showing how gephi allows us to work with them.},

keywords = {},

pubstate = {published},

tppubtype = {online}

}

Close

The Digital Methods Initiative Summerschool 2012 workshops

Crawling & Scraping
The workshop serves as an introduction to two classic digital methods techniques for issue mapping and analysis. A discussion of the Issue Crawler and the Lippmannian device is followed by a short exercise in which we'll study the presence of skeptics among top sources of information related to climate change.

Tracking the Trackers
In this short workshop you will learn how to map the cookie ecology related to a set of websites using the DMI Tracker Tracker tool and Gephi. The Tracker Tracker tool was conceived at the Digital Methods Winterschool 2012 in January. It is build on top of the anti-tracking plugin www.ghostery.com and allows to identify the invisible web, devices that track user activities online and the services associated to them. In order to prepare for this workshop we recommend reading the related projects and materials listed below. Please download and install Gephi athttps://gephi.org/ before the workshop starts so you can also learn how to visualize your results.

CorText: Open Platform for Heterogeneous Data Collection, Analysis and Visualization
IFRIS Digital Platform has developed a powerful web based software solution to address the needs of social scientists conducting empirical studies in the fields of Media Studies, Science and Technology Studies and Digital Humanities. The software platform CorText is an open online service for heterogeneous data analysis, modeling and visualization. The platform has the ambition to provide powerful data mash-up capacities transforming various data sources to structured analytical database. CorText platform offers a large spectrum of analytical tools integrating methods and approaches coming from Data Mining, computational linguistics, dynamical systems modeling, (post-)network analysis.

Query Design & List Building
How does one build a source set? How does one identify key words? How to query the source sets for the key words?

Actor-Network Textual Analysis (ANTA)
Having its roots in the laboratories studies movement, actor-network theory has always had in ethnography its privileged research method. Still, at least in the words of its founders, ANT has always longed for a more quantitative grasp of its objects. Until recently all the attempts to devise an integrated methodology for actor-network text analysis were frustrated by the scarcity of text to be analyzed. A part from scientific literature and media discourses it was difficult to find large amount of digitized text to investigate. In the last few years, this bottleneck has been spectacularly removed by the advent of electronic media and of digital traceability. The deluge of digitized texts made available online by all sort of actors (institutions, individuals, associations, media, activists, scientists…) calls for new tools of analysis at the same time more user-friendly and more powerful. ANTA or Actor-Network Analyzer is one of such tools. It has been developed at Sciences Po médialab to offer social researchers a simple text-analysis toolkit attuned with the theoretical tenets of actor-network theory.

Working with Networks: Analysis and Visualization (Gephi)
Network analysis has become a common technique for working with various types of data. Especially the gephi graph analysis toolkit has made the method significantly more accessible by providing a relatively easy to use interface for exploring and visualizing graphs. This tutorial will introduce a number of basic concepts from graph theory and explicate them by showing how gephi allows us to work with them.

Close

319.

Demortain, David

Scientists and the Regulation of Risk: Standardising Control Book

Edward Elgar Publishing, Incorporated, 2011, ISBN: 9781849809443.

Abstract | BibTeX | Links:

320.

Tari, Thomas; Caron, Pauline; Breucker, Philippe; Barbier, Marc

Characterising the Localisation of Projects Collaborations in Research Dynamics: methodological requirements and results for new visualisations of heterogeneous networks Conference

2010, (ENID 2010 - Methods and techniques for the exploitation of heterogeneous data sources).

Abstract | BibTeX | Links:

@conference{Tari2010,

title = {Characterising the Localisation of Projects Collaborations in Research Dynamics: methodological requirements and results for new visualisations of heterogeneous networks},

author = {Thomas Tari and Pauline Caron and Philippe Breucker and Marc Barbier},

url = {https://www.researchgate.net/publication/262494844_Characterising_the_Localisation_of_Projects_Collaborations_in_Research_Dynamics_methodological_requirements_and_results_for_new_visualisations_of_heterogeneous_networks

https://www.researchgate.net/profile/Philippe-Breucker/publication/262494844_Characterising_the_Localisation_of_Projects_Collaborations_in_Research_Dynamics_methodological_requirements_and_results_for_new_visualisations_of_heterogeneous_networks/links/00b49537de9a036323000000/Characterising-the-Localisation-of-Projects-Collaborations-in-Research-Dynamics-methodological-requirements-and-results-for-new-visualisations-of-heterogeneous-networks.pdf},

year  = {2010},

date = {2010-01-01},

abstract = {This communication proposes to discuss the construction of methodological requirements on databases building and software development, and aspires to show some concrete results in visualising heterogeneous networks of research dynamics considered through projects ecology.



Our reflection is grounded in the growing needs, either for decision makers or researchers of the STS and SPS communities to relay their analysis of facts on a convenient visualisation of structural relationships between heterogeneous actants. Their configuration in dedicated databases is worthy to focus on as they reflect the endogenous dynamics of research and R&D activities. Our hypothesis is that the aims, perimeter, contents and selected projects of funding programmes represent a relevant account of the un‐going technological and scientific dynamic on the one hand, and a relevant account of the mobilization and choices of scientific communities and science policy “makers” on the other hand. Those configurations rely firmly on spatial‐based organizations, mixing European, national and regional scales in formal and informal clusters. Our perspective in the CorTexT Platform of IFRIS is to enrich the studies of sciences dynamics on customized databases of research and R&D projects that represent Dthrough territories performative associations of laboratories, scientific teams, R&D firms and lead‐users.



Without ignoring the existence of a large array of scientific perspectives in Information Sciences about the measurement of science productions and science dynamics, we situate our work in the branch of analysis and visualisation of social networks. This field as well as indicators are central for evaluation and policy of science (Callon et al., 1986; Law et al., 1988). At present, the evolution of the analysis of scientific networks is largely attached to the question of characterizing collaborative and cognitive dynamics of knowledge production (Powell et al., 2005) and to the emergence of multi or trans‐disciplinary emerging fields of research (Lucio‐Arias, Leydesdorff, 2007) or paradigmatic field of research (Chavalarias, Cointet, 2008). Tracing and mapping knowledge in scientific database or in other electronic sources still represents a huge field of problems for many disciplines dealing with information. More locally, in relation to specific area of research, mapping heterogeneous networks appears to help the understanding of social dynamic of research activities (Cambrosio, Keating, Mogoutov, 2004; Cambrosio et al., 2006; Bourret et al., 2006).



Using co‐word analysis tools (RéseauLu), we have already proposed a social study focused on regime of knowledge production in agricultural science and on the significance of sustainability (Barbier, Mogoutov et al., 2008). We identified two emergent yet lively research themes: biofuels and vegetal fibres, and realized specific bibliometrical studies on those subjects. We then devoted sociological studies based on heterogeneous sources to fibres (Caron et Barbier 2009) and biofuel & bioenergy research (Tari 2009). Bearing in mind this type of overall view on scientific knowledge we wanted to develop an approach on research projects in those domains.},

note = {ENID 2010 - Methods and techniques for the exploitation of heterogeneous data sources},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Close

This communication proposes to discuss the construction of methodological requirements on databases building and software development, and aspires to show some concrete results in visualising heterogeneous networks of research dynamics considered through projects ecology.

Our reflection is grounded in the growing needs, either for decision makers or researchers of the STS and SPS communities to relay their analysis of facts on a convenient visualisation of structural relationships between heterogeneous actants. Their configuration in dedicated databases is worthy to focus on as they reflect the endogenous dynamics of research and R&D activities. Our hypothesis is that the aims, perimeter, contents and selected projects of funding programmes represent a relevant account of the un‐going technological and scientific dynamic on the one hand, and a relevant account of the mobilization and choices of scientific communities and science policy “makers” on the other hand. Those configurations rely firmly on spatial‐based organizations, mixing European, national and regional scales in formal and informal clusters. Our perspective in the CorTexT Platform of IFRIS is to enrich the studies of sciences dynamics on customized databases of research and R&D projects that represent Dthrough territories performative associations of laboratories, scientific teams, R&D firms and lead‐users.

Without ignoring the existence of a large array of scientific perspectives in Information Sciences about the measurement of science productions and science dynamics, we situate our work in the branch of analysis and visualisation of social networks. This field as well as indicators are central for evaluation and policy of science (Callon et al., 1986; Law et al., 1988). At present, the evolution of the analysis of scientific networks is largely attached to the question of characterizing collaborative and cognitive dynamics of knowledge production (Powell et al., 2005) and to the emergence of multi or trans‐disciplinary emerging fields of research (Lucio‐Arias, Leydesdorff, 2007) or paradigmatic field of research (Chavalarias, Cointet, 2008). Tracing and mapping knowledge in scientific database or in other electronic sources still represents a huge field of problems for many disciplines dealing with information. More locally, in relation to specific area of research, mapping heterogeneous networks appears to help the understanding of social dynamic of research activities (Cambrosio, Keating, Mogoutov, 2004; Cambrosio et al., 2006; Bourret et al., 2006).

Using co‐word analysis tools (RéseauLu), we have already proposed a social study focused on regime of knowledge production in agricultural science and on the significance of sustainability (Barbier, Mogoutov et al., 2008). We identified two emergent yet lively research themes: biofuels and vegetal fibres, and realized specific bibliometrical studies on those subjects. We then devoted sociological studies based on heterogeneous sources to fibres (Caron et Barbier 2009) and biofuel & bioenergy research (Tari 2009). Bearing in mind this type of overall view on scientific knowledge we wanted to develop an approach on research projects in those domains.

Close

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