CorText Manager around the world

@inproceedings{Malanski2020,
title = {Labor studies in agricultural value chains: a scientometric analysis from scopus},
author = {Priscila Duarte Malanski and Benoît Dedieu and Mariana Augusta Souza and Sandra Mara schiavi Bankuti

},
url = {https://www.researchgate.net/publication/343345088},
year = {2020},
date = {2020-10-01},
booktitle = {SOBER 2020},
address = {Foz do Iguaçu, Brazil},
abstract = {Agricultural value chains are important to create rural employment. According to FAO, employment opportunities, increasing wages and high-job quality are crucial labor-related conditions to value chains sustainability. However, there is a gap in the literature gathering the specific contribution of value chains approaches to discussions on labor in agriculture. Our aim was to review the state of the international literature on labor in agricultural value chains. A scientometric analysis of the articles indexed in Scopus were performed. The main results were: 1) labor in agricultural value chains is a relative new scientific community lead by research developed by UK, USA, Germany and Kenya; 2) the reference authors, journals, institutions and articles were characterized; 3) the hotspots changed over the past 20 years; 4) researches are structured in six main research domains. Our scientometric review provides an overview about the main characteristics of a new rising scientific community focused in labor in agricultural value chain, as well as a synthesis of knowledge produced to support scientific innovation in this field. Regarding agriculture value chains agents, our results advance the importance of governance to improve employment relations and working conditions in farms in order to promote chain sustainability.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Huang2020,
title = {Evolution of hot topics in team science / 团队科学中热点主题的演变},
author = {Ying Huang and Ruinan Li and Yashan Li and Lin Zhang},
url = {https://i2insights.org/2020/07/21/hot-topics-in-team-science/#more-15877},
year = {2020},
date = {2020-06-01},
publisher = {International Science of Team Science Conference},
abstract = {11th Annual International Science of Team Science Conference in June 2020},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Khan2019,
title = {Frugal Innovation, Sustainability, and Sustainable Frugal Innovation: A conceptual clarification and empirical evidence},
author = {Sana Khan and Patricia Laurens and Christian Le Bas},
url = {https://www.strategie-aims.com/events/conferences/30-xxviiieme-conference-de-l-aims/communications/5212-sustainability-in-frugal-innovation/download},
year = {2019},
date = {2019-06-01},
booktitle = {AIMs conference},
volume = {30},
address = {Dakar},
abstract = {Sustainable development sets up a major challenge for economic activity, climate change, management of organization and society. It follows that the drivers and impacts of frugal innovations (FI) should be analyzed in relation to sustainability as a new socio-economic paradigm. In this study, we note that FI and sustainability are related to two sets of literature mainly studied in isolation until now (with some notable exceptions like Brem and Yven, 2013 and Rosca et al., 2017). Our objective is to realize a necessary conciliation between the two. In others words, our research question is to explore how and to what extent FI is linked to sustainability. We contribute to the literature dealing with FI in three ways. First, we show how FI can generate more sustainable development while FI is not inherently sustainable. Secondly, we draw conclusions regarding a possible taxonomy of FI which is based on two extreme poles i.e., FIs have no marked sustainable effects vs. FIs are fully sustainable. Finally, we carry out an empirical analysis of a sample studies of FIs published in different academic or scientific journals to discover the different between the two forms of FI.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Virlon2018,
title = {Open Data on ANR-funded research: a valuable resource to explore impact pathways in research funding},
author = {Bérangère Virlon and Tiphaine Bith and Rosa Mariana de Leon Escribano and Julie Dupuis and Yves Fort},
url = {http://hdl.handle.net/1887/65365},
year = {2018},
date = {2018-09-11},
booktitle = {STI 2018 Conference Proceedings},
volume = {2018},
abstract = {ANR is the French national research agency founded in 2005 and responsible for the project-based research funding. It operates under the authority of the Ministry in charge of Research and Innovation and has to implement the national research strategy. In compliance with the growing need for « open science », in order (i) to give a better visibility to ANR-funded research, and (ii) to create a favourable environment for studying and generating research-based impacts, the agency recently embraced and fostered « open access » and « open data » practices. ANR notably encourages the principal investigators to deposit their publications in an open archive, requires grant holders and applicants to prepare a Data Management Plan, and ensures the circulation of data and knowledge on public grants by providing data for each funded project in standardized formats to facilitate their broad and easy use. In the present poster, we will first describe the type of data made available to the public which provides detailed information on the projects grants funded by ANR from 2005 to 2017.Using three proof-of-principle examples, we also illustrate how this data could be exploited and investigated, at different levels (institutions, PIs and research themes) to study the impacts of ANR on the national scientific production.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Huang2018,
title = {Evolution of Research on Smart Health: A Bibliometrics Analysis},
author = {Xiao Huang and Ke Dong and Jiang Wu},
doi = {10.1007/978-3-030-03649-2_35},
year = {2018},
date = {2018-07-03},
booktitle = {International Conference on Smart Health, ICSH 2018},
journal = {Smart Health International Conference, ICSH 2018},
volume = {10983},
pages = {351-358},
address = {Wuhan; China},
series = {LNCS},
abstract = {Smart health is a new form of business created by the combination of the Internet and the medical industry and the research of smart health has gradually attracted much attention from the academic community. In this study, the scientific literatures of smart health included in Web of Science are analyzed to draw the knowledge map to find out the research trail in this field. The analysis results show that the number of literatures in the field continues to increase and that published journals have a certain degree of centrality. Reviews and commentary articles published earlier will receive more attention. The update of technology will significantly change the research trend, the content covered in this area will also be more extensive with the further development of smart health related technologies.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{plancq2018avenir,
title = {"L'avenir en commun" des Insoumis. Analyse des forums de discussion des militants de la France Insoumise},
author = {Clément Plancq and Zakarya Després and Julien Longhi},
url = {https://halshs.archives-ouvertes.fr/halshs-01719374},
year = {2018},
date = {2018-01-01},
booktitle = {Atelier Fouille de Données Complexes, EGC 2018},
abstract = {Les discours politiques ont fait l’objet de travaux marquants en analyse du discours et en TAL mais les études sur les discussions de militants sont plus rares. Pourtant ces communautés sont le lieu d’échanges idéologiques sur le programme d’un candidat. L’étude de ces discussions peut se révéler intéressante pour étudier la circulation des idéologies de l’appareil politique vers une communauté de citoyens et vice-versa. Dans l’article nous présentons les travaux menés pour recueillir un corpus de messages émanant de forums de discussion des militants de la France Insoumise puis les analyses conduites sur ce corpus à l’aide des outils de la plateforme Cortext.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{abacha2017named,
title = {Named entity recognition in functional neuroimaging literature},
author = {Asma Ben Abacha and Alba Seco G de Herrera and Ke Wang and Rodney L Long and Sameer Antani and Dina Demner-Fushman},
url = {https://ieeexplore.ieee.org/abstract/document/8218002},
year = {2017},
date = {2017-01-01},
booktitle = {Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on},
pages = {2218-2220},
organization = {IEEE},
abstract = {Human neuroimaging research aims to find mappings between brain activity and broad cognitive states. In particular, Functional Magnetic Resonance Imaging (fMRI) allows collecting information about activity in the brain in a non-invasive way. In this paper, we tackle the task of linking brain activity information from fMRI data with named entities expressed in functional neuroimaging literature. For the automatic extraction of those links, we focus on Named Entity Recognition (NER) and compare different methods to recognize relevant entities from fMRI literature. We selected 15 entity categories to describe cognitive states, anatomical areas, stimuli and responses. To cope with the lack of relevant training data, we proposed rule-based methods relying on noun-phrase detection and filtering. We also developed machine learning methods based on Conditional Random Fields (CRF) with morpho-syntactic and semantic features. We constructed a gold standard corpus to evaluate these different NER methods. A comparison of the obtained F1 scores showed that the proposed approaches significantly outperform three state-of-the-art methods in open and specific domains with a best result of 78.79% F1 score in exact span evaluation and 98.40% F1 in inexact span evaluation.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{rizzo2017data,
title = {What data are available to describe cropping systems at the regional level?},
author = {Davide Rizzo and Elisa Marraccini and Giuliano Vitali and Philippe Martin},
url = {https://hal.archives-ouvertes.fr/hal-01608845},
year = {2017},
date = {2017-01-01},
booktitle = {XLVI meeting of the Italian Society for Agronomy, Milan},
pages = {12--14},
abstract = {European agriculture is undergoing a rapid evolution that challenges agronomic research to scale from field to landscape. In particular, the undergoing processes (e.g. urbanization or land abandonment) and the multiple ecosystems services provided by agricultural areas are requiring to broaden the research at the regional level. Since some decades, the European Union is promoting the collection of agricultural data to evaluate the farmers’ eligibility for subsidies and to assess the Common Agricultural Policy performances. Part of these datasets are being increasingly used beyond their administrative functions, as for the Farm Accountancy Data Network (FADN) and the Land Parcel Identification System (LPIS). Starting from a bibliometric analysis of the scientific literature using these datasets, we will discuss two examples of their application for characterizing cropland and cropping systems. Our aim is to discuss the relevance of these datasets as tools to improve the monitoring and management of agroecosystems at the regional level. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{villard2017metropolisation,
title = {Metropolisation, peripheries and funding of nano sciences & technologies production in Europe},
author = {Lionel Villard and François Perruchas and Thomas Scherngell and Michael Barber and Philippe Larédo and Jordi Molas Gallart},
url = {https://www.cortext.net/metropolisation-peripheries-and-funding-of-nano-sciences-technologies/},
year = {2017},
date = {2017-01-01},
booktitle = {STI Conference},
abstract = {There are multiple on-going debates about the geographical distribution and concentration of knowledge production worldwide. Recent work done by Grossetti et al. (2015) points to a ‘deconcentration’ process of knowledge production, visible not only at country level (linked to the periodic rise of new countries in the overall scientific production landscape, a long-lasting phenomenon), but also at metropolitan level. In a European policy context, this raises the question whether we can also identify such tendencies across the European territory, and whether this specifically applies to frontier scientific fields.
In this demonstration, we have addressed this question for knowledge production in the field of Nano sciences & technologies (S&T), accounting for different kinds of knowledge production (scientific, technological and project-based). The attempts to characterise the dynamics of Nano S&T are not new (Noyons et al., 2003). One pre-condition for the empirical analysis of Nano S&T is its delimitation in relevant R&I datasets. Kahane and Mogoutov (2007) have developed a fully lexical approach which remained however static (considering only the whole period covered). This has meanwhile been advanced to a ‘dynamic‘ approach (Kahane et al., 2014) where the lexical delineation evolves each year according to the field specific vocabulary produced.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{yasushi2017development,
title = {Development of data platform for Japanese star scientist analysis},
author = {Yasushi Hara},
year = {2017},
date = {2017-01-01},
booktitle = {Measuring science intensity of industry using linked dataset of science, technology and industry},
journal = {年次学術大会講演要旨集},
volume = {32},
pages = {574--577},
publisher = {研究・イノベーション学会},
note = {http://hdl.handle.net/10119/14859},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Neresini2017,
title = {Clean energy or extractive industry? A comparative study on the media representation of hydroelectricity in Colombia and Guatemala},
author = {Federico Neresini and Renato Ponciano and Arjuna Tuzzi},
url = {https://conference.aau.at/event/95/material/6/},
year = {2017},
date = {2017-01-01},
booktitle = {Critical Issues in Science, Technology and Society Studies: 16th Annual STS Conference Graz 2017},
abstract = {The Guatemalan Government de-monopolized and privatized the electricity market between 1996-2000, with the justification that, first, rural electricity coverage – which was less than 50% at the time – was a significant obstacle to human development; and second, that there were large unexploited energy resources, especially hydroelectricity. The strategy led to quadruple the installed capacity of the network in twenty years, while private hydro generation grew 6000% (Paz Antolín 2004, Ministerio de Energía y Minas 2016). However, neighboring rural communities have received the hydroelectric expansion with sustained protests and resistance, because of their impact on water use, among other claims (Orantes 2010). This has led to a perceived association of hydropower with extractive industries such as mining or oil. Take for example this quote from the activist blog, Albedrío.org: The Mayan People on resistance know that there is no more territory to go as they run away from the “development of the others”. Organized communities have already made around 80 public consultations that have clearly rejected the hydromining invasion of their territories [translation by the author, emphasis added] (Itzanmá 2014). Such association is interesting from an STS perspective, for two reasons, mainly: first, it challenges conventional views of hydropower as a clean energy source that reduces environmental impacts, especially those related to climate change; and second, because it suggests the idea of a large heterogeneous techno-industrial complex, that comprises hydroelectricity and mining and that is extracting the valuable natural resources of one country.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{barbier2016scoping,
title = {Scoping challenges for multiple service provision in agroecosystems: insights from data mining in scientific literature and research projects},
author = {Marc Barbier and Muriel Tichit and Lars Gamfeldt and Knut Anders Hovstad and T Diekocer and Daniele Magda and K Siece and Wolfgang Weisser and Jean-François Soussana and Jan Bengtsson},
url = {https://hal.archives-ouvertes.fr/hal-01603673/},
year = {2016},
date = {2016-01-01},
booktitle = {5. International EcoSummit 2016. Ecological Sustainability: Engineering Change},
pages = {np},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{bras2016mapping,
title = {Mapping the networks of cancer research in Portugal: first results},
author = {Oriana Rainho Brás and Jean-Philippe Cointet and João Arriscado Nunes and Leonor David and Alberto Cambrosio},
url = {http://dx.doi.org/10.4995/STI2016.2016.4543},
year = {2016},
date = {2016-01-01},
booktitle = {21st International Conference on Science and Technology Indicators-STI 2016. Book of Proceedings},
abstract = {Social studies of cancer research at the international level have contributed to a better understanding of the developmental dynamics – both organizational and epistemic – of this field (Keating & Cambrosio, 2012). In contrast, despite its robust development, oncology research in Portugal has been the subject of only few studies. Most of them have a strong focus on the first half of the 20th century (Raposo, 2004; Costa, 2010, 2012a; 2012b), while a few focus on more contemporary events (Nunes, 2001). Consequently, we do not have a clear picture of recent trends in oncology research in Portugal, and how it integrates into the international landscape. This hinders public accountability of oncology research while also limiting the analysis of how this research relates to health care delivery, health outcomes, and health policy formulations. This paper presents the first results of an ongoing research project on the organizational and epistemic development of oncology research in Portugal, covering the period from the end of the 20th century to 2015. Among other issues, we intend to explore the extent to which oncology research in Portugal mirrors the international dynamics at a smaller scale, and the extent to which it presents features of its own. The study draws upon computer-based analysis of publications using the platform CorText (http://www.cortext.net/) of IFRIS (Institut Francilien Recherche, Innovation, Société), along with interviews with Portuguese oncologists and related practitioners.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{fabo2016climate,
title = {Climate Negotiation Analysis},
author = {Pablo Ruiz and Clément Plancq and Thierry Poibeau},
url = {https://hal.archives-ouvertes.fr/hal-01423299},
year = {2016},
date = {2016-01-01},
booktitle = {Digital Humanities 2016},
pages = {663-666},
abstract = {Text analysis methods based on word co-occurrence have yielded useful results in humanities and social sciences research. Whereas these methods provide a useful overview of a corpus, they cannot determine the predicates relating co-occurring elements with each other. For instance, if France and the phrase "binding commitments" co-occur within a sentence, how are both elements related? Is France in favour of, or against binding commitments? Different natural language processing (NLP) technologies can identify related elements in text, and the predicates relating them. We are developing a workflow to analyze the Earth Negotiations Bulletin, which summarizes international climate negotiations. A sentence in this corpus can contain several verbal or nominal predicates indicating support and opposition. Results were uneven when applying Open Relation Extraction tools to this corpus. To address these challenges, we developed a workflow with a domain model, and analysis rules that exploit annotations for semantic roles and pronominal anaphora, provided by an NLP pipeline. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{rykov2016semantic,
title = {Semantic and Geospatial Mapping of Instagram Images in Saint-Petersburg},
author = {Yuri Rykov and Oleg Nagornyy and Olessia Koltsova},
url = {https://www.researchgate.net/publication/316664797_Semantic_and_Geospatial_Mapping_of_Instagram_Images_in_Saint-Petersburg},
year = {2016},
date = {2016-01-01},
booktitle = {Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference},
volume = {2607},
pages = {75},
abstract = {The availability of large urban social media data creates new opportunities for studying cities. In our paper we propose a new direction for this research: a joint analysis of geolocations of shared images and their content as determined by computer vision. To test our ideas, we use a dataset of 47,410 Instagram images shared in the city of St.Petersburg over one year. We show how a combination of semantic clustering, image recognition and geospatial analysis can detect important patterns related to both how people use a city and how they represent in social media.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{vandenBesselaar2016,
title = {Predicting panel scores by linguistic analysis},
author = {Peter van den Besselaar and Luka Stout and Xiaoli Gou},
url = {https://inis.iaea.org/search/search.aspx?orig_q=RN:48050895},
year = {2016},
date = {2016-01-01},
booktitle = {Science and Technology Indicators},
pages = {1081-1088},
abstract = {In this paper we explore the use of text analysis for deriving quality indicators of project proposals. We do full text analysis of 3030 review reports. After term extraction, we aggregate the term occurrences to linguistic categories. Using thse linguistic categories as independent variables, we study how well these predict the grading by the review panels. Together, the different linguistic categories explain about 50% of the variance in the grading of the applications. The relative importance of the different linguistic categories inform us about the way the panels work. This can be used to develop altmetrics for the quality of the peer and panel review processes.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{vandenBesselaar2016b,
title = {SMS: a linked open data infrastructure for science and innovation studies},
author = {Peter van den Besselaar and Ali Khalili and Al Idrissou and Antonis Loizou and Stefan Schlobach and Frank van Harmelen},
url = {https://research.vu.nl/en/publications/sms-a-linked-open-data-infrastructure-for-science-and-innovation-},
year = {2016},
date = {2016-01-01},
booktitle = {Science and Technology Indicators},
pages = {106-114},
abstract = {In this paper we describe a data integration infrastructure for Science Technology and Innovation (STI) studies developed within the context of the RISIS project. We outline its architecture and functionalities. In the full paper, we will show the use of the infrastructure in a complex research project. At the conference we will give a demonstration.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Robinson2016,
title = {Assessing marine biotechnology research centres in peripheral regions: developing global and local STI indicators},
author = {Douglas K.R. Robinson and Antoine Schoen and Patricia Laurens and Süzel Horellou and Pierre Colas and Philippe Larédo},
url = {https://hal.archives-ouvertes.fr/hal-01704087},
year = {2016},
date = {2016-01-01},
booktitle = {Science and Technology Indicators},
pages = {575-580},
abstract = {Our study tackles the challenge of developing STI indicators for assessing marine biotechnology (Blue Bio) research institutes that are geographically located in peripheral regions, far from major metropolitan areas. The promise of Blue Bio couples (a) the promise of new sources of knowledge and innovation with (b) the promise to stimulate jobs and growth2 in regions which struggle to prosper due to a number of factors (such as economic migration from peripheries to large cities, decline of traditional coastal economic activity etc.). In this paper we outline the context of Marine Biotechnology assessment, the framework that is being used, and the first results of its application.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{de2015monitoring,
title = {Monitoring Issues in Digital Public Space-From Data Collection to Issue Mapping},
author = {Constance De Quatrebarbes and Antoine Mazieres and Jean-Philippe Cointet},
url = {https://hal.archives-ouvertes.fr/hal-01771550},
year = {2015},
date = {2015-01-01},
booktitle = {Etudier le Web politique: Regards croisés (WEBPOL)},
abstract = {This article objectives are twofold. Its aim is both to introduce the principles of CrawText: an online data collection tool, and to identify some perspectives on the possible use of those digital traces for the analysis of public issues. CrawText specificity is to enable the construction of controlled corpora focusing on a given topic. Besides it allows to track the evolution of digital territories along time, paving the way toward the monitoring of actors and content dynamics in those public spaces. We will briefly illustrate those analytical perspectives with a case study on current discussions about the Climate Change Conference COP 21 to be held in Paris next Fall.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{poibeau2015generating,
title = {Generating navigable semantic maps from social sciences corpora},
author = {Thierry Poibeau and Pablo Ruiz},
url = {https://hal.archives-ouvertes.fr/hal-01173963},
year = {2015},
date = {2015-01-01},
booktitle = {Digital Humanities 2015},
journal = {arXiv preprint arXiv:1507.02020},
abstract = {It is now commonplace to observe that we are facing a deluge of online information. Researchers have of course long acknowledged the potential value of this information since digital traces make it possible to directly observe, describe and analyze social facts, and above all the co-­‐evolution of ideas and communities over time. However, most online information is expressed through text, which means it is not directly usable by machines, since computers require structured, organized and typed information in order to be able to manipulate it. Our goal is thus twofold: 1. Provide new natural language processing techniques aiming at automatically extracting relevant information from texts, especially in the context of social sciences, and connect these pieces of information so as to obtain relevant socio-­‐ semantic networks ; 2. Provide new ways of exploring these socio-­‐semantic networks , thanks to tools allowing one to dynamically navigate these networks , de-­‐construct and re-­‐ construct them interactively , from different points of view following the needs expressed by domain experts.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{raimbault2015models,
title = {Models Coupling Urban Growth and Transportation Network Growth: An Algorithmic Systematic Review Approach ECTQG 2015, Bari},
author = {Juste Raimbault},
url = {https://halshs.archives-ouvertes.fr/halshs-01857256/},
year = {2015},
date = {2015-01-01},
booktitle = {European Colloquium on Theoretical and Quantitative Geography 2015},
abstract = {A broad bibliographical study suggests a scarcity of quantitative models of simulation integrating both network and urban growth. This absence may be due to diverging interests of concerned disciplines, resulting in a lack of communication. We propose to proceed to an algorithmic systematic review to give quantitative elements of answer to this question. A formal iterative algorithm to retrieve corpuses of references from initial keywords, based on text-mining, is developed and implemented. We study its convergence properties and do a sensitivity analysis. We then apply it on queries representative of the specific question, for which results tend to confirm the assumption of disciplines compartmentalisation. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{bourreau2014mapping,
title = {Mapping the Economic Crisis: Some Preliminary Investigations},
author = {Pierre Bourreau and Thierry Poibeau},
url = {https://hal.archives-ouvertes.fr/hal-01056144/},
year = {2014},
date = {2014-01-01},
booktitle = {ACL Language Technologies and Computational Social Science},
abstract = {In this paper we describe our contribution to the PoliInformatics 2014 Challenge on the 2007-2008 financial crisis. We propose a state of the art technique to extract information from texts and provide different representations, giving first a static overview of the domain and then a dynamic representation of its main evolutions. We show that this strategy provides a practical solution to some recent theories in social sciences that are facing a lack of methods and tools to automatically extract information from natural language texts. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{lepinay2014russian,
title = {Russian computer scientists, local and abroad: mobility and collaboration},
author = {Vincent Lepinay and Andrei Mogoutov and Jean-Philippe Cointet and Lionel Villard},
url = {https://dl.acm.org/citation.cfm?id=2687233.2687254},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia},
pages = {18},
organization = {ACM},
abstract = {In this paper we present the first results of the first comprehensive study of a population that has drawn attention over the past few years, Russian computer scientists (CS) and IT specialists. We collected data from digital platforms were CS and IT leave either signatures or digital traces. The difference between signatures and traces is the difference between intentional scientific claims (an article or a vitae) and by-products of activities that take place on the web. Digital signatures are a digital mode of existence of objects that exist otherwise; digital traces only exist on digital platforms.},
note = {https://doi.org/10.1145/2687233.2687254},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{omodei2014mapping,
title = {Mapping the natural language processing domain: Experiments using the acl anthology},
author = {Elisa Omodei and Jean-Philippe Cointet and Thierry Poibeau},
url = {https://hal.archives-ouvertes.fr/hal-01056147},
year = {2014},
date = {2014-01-01},
booktitle = {LREC 2014, the Ninth International Conference on Language Resources and Evaluation},
pages = {2972-2979},
organization = {ELRA},
abstract = {This paper investigates the evolution of the computational linguistics domain through a quantitative analysis of the ACL Anthology (containing around 12,000 papers published between 1985 and 2008). Our approach combines complex system methods with natural language processing techniques. We reconstruct the socio-semantic landscape of the domain by inferring a co-authorship and a semantic network from the analysis of the corpus. First, keywords are extracted using a hybrid approach mixing linguistic patterns with statistical information. Then, the semantic network is built using a co-occurrence analysis of these keywords within the corpus. Combining temporal and network analysis techniques, we are able to examine the main evolutions of the field and the more active subfields over time. Lastly we propose a model to explore the mutual influence of the social and the semantic network over time, leading to a socio-semantic co-evolutionary system. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@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},
year = {2014},
date = {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}
}

@inproceedings{Schoen2014,
title = {A double shift in researchers’ activity profiles: an actor-based analysis of the making of quality in high standing academic departments},
author = {Antoine Schoen and Catherine Paradeise and Lionel Cauchard and Marianne Noël},
year = {2014},
date = {2014-01-01},
booktitle = {STI 2014 Leiden, “Context Counts: Pathways to Master Big and Little Data”},
organization = {CWTS},
series = {STI 2014 Leiden},
abstract = {This study aims at opening the black box of high standing academic departments for analysing the combination of individual contributions in the production of a shared quality label. By analysing personal CVs, this study investigates three research questions: To what extent is academic quality the result of individual performances or a collective achievement? Can we characterise a specialisation of activities within the departments between « junior » and « senior » researchers? Is there a shift across cohorts in the academic activity profile during the early career phase?},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{massad2013unfolding,
title = {Unfolding History: Classification and analysis of written history as a complex system},
author = {D Massad and Elisa Omodei and Carol Strohecker and Yiqun Xu and Joshua Garland and Mengsen Zhang and Luís F. Seoane},
url = {https://www.semanticscholar.org/paper/Unfolding-History-%3A-Classification-and-analysis-of-Massad-Omodei/909983164867fd53a1d934e13c1cd6a4b6c51ba3},
year = {2013},
date = {2013-01-01},
booktitle = {Complex Systems Summer School Proceedings},
abstract = {Before writing, chronicles were told by word of mouth. They conveyed information of important historic events that could readily be mixed up with legends–or become them. Chronicles needed to be easily accessible for people to pass them along, and stories lived on in listeners’ short memories. This collective, ever-waning awareness was the technology that kept the tales extant, and this technology required a continuous effort in reminding people never to forget. This way of keeping stories alive also imposed important constrains on the kind and form of the narrative material. Breathtaking epics were perhaps more likely to survive, which could easily tend toward mystification of pre-historic characters. These epics had to be kept in the form of repetitive, easy-to-learn patterns. It comes as a pleasant surprise for us that diverse ancient poems take similar},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{park20138th,
title = {Animal models and fetal programming: an integrativeliterature approach},
author = {Narges Bahi-Jaber and Andrei Mogoutov and Ghada Elmhiri and Latifa Abdennebi-Najar},
url = {https://www.researchgate.net/profile/Venkata_Malakapalli/publication/311847383_Modelling_developmental_origins_of_adult_based_diseases_obesity_using_mesenchymal_stem_-_cellular_molecular_and_functional_approaches/links/585d476308aebf17d38a31b8/Modelling-developmental-origins-of-adult-based-diseases-obesity-using-mesenchymal-stem-cellular-molecular-and-functional-approaches.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {Journal of Developmental Origins of Health and Disease, 8th World Congress on Developmental Origins of Health and Disease},
journal = {Journal of Developmental Origins of Health and Disease},
volume = {4},
number = {2},
pages = {54-55},
abstract = {Despite the substantial epidemiological evi-dence for fetal origins of adult disease, there are intrinsiclimitations in long-term retrospective studies. Some aspectscan, however, be focused on by using the controlledconditions afforded by animal models, a number of whichhave been developed to study thisin uteroprogrammingphenomenon. Animal models allow study of the pathophy-siology of disease, and afford a means to study the underlyingbiochemical and molecular biological mechanisms, whilstthey cannot be used entirely as a substitute for the study ofhuman diseases. Analyzing the contribution of animal modelsin our understanding of fetal programming as well as theirlimits requires a systematic review of the existing literature.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Schoen2012,
title = {The Network Structure of Technological Developments; Technological Distance as a Walk on the Technology Map},
author = {Antoine Schoen and Lionel Villard and Patricia Laurens and Jean-Philippe Cointet and Gaston Heimeriks and Floortje Alkemade},
url = {https://core.ac.uk/download/pdf/48332739.pdf},
year = {2012},
date = {2012-09-01},
booktitle = {17th International Conference on Science and Technology Indicators},
pages = {733-742},
abstract = {This paper presents a global map of technology that characterises the proximity and dependency of technological areas. It addresses the structure of technological output embodied in the network connecting patents to the patent classifications that they are attributed to. The distance between areas of technology is based on the analysis of the co-occurrence of IPC codes assigned to individual patent documents. As our classification of technologies we use an extended version of the WIPO classification of technological fields, unfolding the 35 classes to 389. The global map allows to ‘overlay’ patents produced by a specific organisation or country against the background of a stable representation of global technological invention and to produce comparisons that are visually attractive, very readable, and potentially useful for policy-making and strategic management. As an illustration, the technological portfolios of two large industrial corporations (IBM and BASF) are projected on this global map of technology, highlighting the technological profile of these groups. As such, the map can provide valuable information about promising areas of further technological development, comparative advantages and missing technological competences. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@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}
}

@inproceedings{tari2010characterising,
title = {Characterising dynamics of new sciences through project collaborations: a project-based scientometrica insight into French bioenergies research},
author = {Thomas Tari and Marc Barbier and Philippe Breucker},
url = {http://agris.fao.org/agris-search/search.do?recordID=FR2014006818},
year = {2010},
date = {2010-01-01},
booktitle = {3. European Network of Indicators Designers Conference: STI Indicators for Policymaking and Strategic Decisions. 2010-03-032010-03-05, Paris, FRA},
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 through territories performative associations of laboratories, scientific teams, R&D firms and lead-users. },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}