CorTexT platform
The CorTexT Platform is the digital platform of LISIS Unit and a project launched and sustained by IFRIS and INRAE.
This platform aims at empowering open research and studies in humanities about the dynamic of science, technology, innovation and knowledge production.
After the emergence and generalization of network analysis in many disciplines and its valorization in on-line bibliometric tools and then in many social media infrastructure of digital business, quali-quantitative of data bases and the booming of @datas is creating a new space for research. Designing and engineering solution for the analysis and the visualization of datasets represents a scientific and technological challenge. Moreover, the next step towards digital humanities does not address only a technological gap for social sciences; it also means the development of epistemic bargain between disciplines of social sciences, artificial intelligence and computing sciences since the complexity of research problem is increasing in relation to the profusion of new data.
Latest newsVIEW ALL
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Long trends on twitter: intertemporal clusters combining hashtags and terms on Scientometrics, Altmetrics, Bibliometrics and Science Of Science
Long trends on twitter: inter-temporal clusters combining hashtags and terms, for all tweets on Scientometrics, Altmetrics, Bibliometrics and Science Of Science from Jan. 2017 to dec. 2021, on a semester base. Query used to extract tweets: lang:en (Scientometrics OR “ScienceOfScience” OR “Science Of Science” OR “Altmetrics” OR “altmetric” OR “bibliometrics” OR “bibliometric” OR “citation metrics” […]
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Présenter CorTexT Manager en 2 minutes
Cortext Manager est une application web construite par des chercheurs et par des ingénieurs à destination de chercheurs en sciences humaines et sociales, au plus près des questions portées par les chercheurs qui nous entourent et par notre communauté d’utilisateurs. Cette application web peut produire un grand nombre d’analyses différentes qui ont trait aux champs […]
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Analysis of the scientific production that mentioned the use of CorText Manager
There are two ways to understand what CorTexT Manager is. The first one is to look at what has been achieved in terms of methods, tools and therefore lines of code. The second one is studied below, by analyzing (here with CorTexT Manager) what academic users have published using… CorTexT Manager. Our study of the […]
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10 years of CorText Manager v2
It took us more than 10 years to come with CorText Manager version 2 as it is now! Behind the scenes CorText Manager begun with a first version in 2009. More than thirty contributors has worked directly or indirectly on the two versions, year after year. All the ideas, inspirations, all this accumulation of pieces […]
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RISIS Training: Thematic and spatial analysis of technologies using CorText Manager and RISIS patent database
One of the best CorText Manager training courses was organized and offered by the RISIS project. Here is the program of this training which lasted 3 days: Monday 08/11/21 14h-16h30: Session 1 Session 1a: Introduction on patent analysis (60’) Introductory lecture session • Welcoming introduction (Philippe Larédo) 5’ • Type of patents documents (Antoine Schoen) […]
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Early 2021 CorText Manager training sessions
CorText organized a series of training workshops on CorText Manager and its methods in January 2021! These workshops were imagined as a staircase with three successive steps : Session 1: Introduction Session 2: Method comparisons Session 3: Research questions and work on user’s corpus For these sessions, the subject chosen for the demonstrations and exercises […]
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Seminar and workshop during the Summer School of PPGCI IBICT UFRJ, Rio de Janeiro – 03/2020
In March 2020, the LabEx SITES post-doctoral researcher, Ale Abdo, traveled to Rio de Janeiro and São Paulo to organize two trainings on textual analysis and on a new method he developed and integrated at the CorText Infrastructure, as well as to participate in discussions on open and citizen science in Brazil, including the discussion […]
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A CorText Manager distance training session in the framework of the nanocellulose project – Grenoble, June 2020
For complementing the RISIS access requested (to Leiden publications DB and RISIS patent DB) by the GAEL laboratory (UMR INRAE, CNRS, UGA, INPG), in the framework of a research project on nanocellulose, the CorText team has provided , in June and July 2020, an advanced training on the use of CorText. After setting up of […]
Latest scientific works using CorText Manager

2014
Journal Articles
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.
@article{tancoigne2014place,
title = {The place of agricultural sciences in the literature on ecosystem services},
author = {Elise Tancoigne and Marc Barbier and Jean-Philippe Cointet and Guy Richard},
doi = {10.1016/j.ecoser.2014.07.004},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
journal = {Ecosystem Services},
volume = {10},
pages = {35-48},
publisher = {Elsevier},
abstract = {We performed a quantitative and qualitative analysis of the scientific literature on ecosystem services in order to help tracing a research agenda for agricultural sciences. The ecosystem services concept now lies at the heart of current developments to address global environmental change. Do agricultural sciences generate knowledge that covers this emerging theme? An analysis of scientific production allowed us to return to the ecological origins of this concept and see how little it has been appropriated by agricultural sciences until now, despite major focus on the issue of agro-ecosystems in the literature. Agricultural sciences tend to be more active in the field of environmental services, defined as services rendered by humans to ecosystems. The main studied services are those which have already been clearly identified and which act in synergy. Less attention is paid to the antagonisms between different services. These findings call for the implementation of agricultural research programmes that will consider the socio-agro-ecosystem as a whole and broaden the traditional issues addressed by agricultural sciences. We insist on three main management and operational issues that needs to be overcome if this is to be done: working at the landscape scale, increasing inter-disciplinary collaborations and take uncertainties into account.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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.
@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}
}
Baya-Laffite, Nicolas; Cointet, Jean-Philippe
Cartographier la trajectoire de l'adaptation dans l'espace des négociations sur le climat. Changer d'échelle, red(u)ire la complexité Journal Article
In: Réseaux, vol. 188, no. 6, pp. 159-198, 2014.
@article{Baya-Laffite2014,
title = {Cartographier la trajectoire de l'adaptation dans l'espace des négociations sur le climat. Changer d'échelle, red(u)ire la complexité},
author = {Nicolas Baya-Laffite and Jean-Philippe Cointet},
url = {https://doi.org/10.3917/res.188.0159},
doi = {10.3917/res.188.0159},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
journal = {Réseaux},
volume = {188},
number = {6},
pages = {159-198},
abstract = {Les négociations au sein de Convention cadre des Nations Unies sur les changements climatiques (CCNUCC) connaissaient une inflation thématique incessante à l’aune des intérêts et cadrages souvent concurrents des Parties. En témoigne la place acquise par le thème controversé de l’adaptation aux impacts du changement climatique. Cartographier ce phénomène complexe constitue un défi pour l’analyse quali-quantitative des problèmes publics que cet article adresse en présentant et en discutant une expérience de production et visualisation de données sur configuration de l’espace thématique des négociations et son déploiement dans le temps. Par un changement d’échelle et des allers-retours entre visualisation et narration, il est dès lors possible de réduire et redire la complexité pour rendre compte de la trajectoire de l’adaptation. Celui-ci n’est, cependant, qu’un exemple parmi les multiples histoires, fondées sur la modélisation des données, qui peuvent être produites. Ainsi, ce type de visualisations porte un potentiel en tant qu’objet frontière pour discuter les enjeux passés, présents et futurs à l’aune d’une vue synoptique du processus.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Conferences
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).
@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},
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}
}
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.
CorText Newsfeed

Providing useful tools, data, methods or algorithms, has been one of the main goals of CorText Team. Therefore, CorText Newsfeed is there to put emphasis on some of our recent activities. We want it to be simple and fast reading so you would be able to pick relevant information for your own work.
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