TINA

Dynamique des sciences humaines et des systèmes sociaux numériques

TINA est un groupe de recherche rassemblant des chercheurs et des ingénieurs de diverses institutions d’enseignement supérieur et de recherche. TINA s’appuie sur les infrastructures de l’ISC-PIF pour saisir les nouvelles opportunités qu’offrent les “humanités digitales” en matière de reconstruction et de modélisation de la dynamique des systèmes sociaux.

PROJETS

Science Phylomemies

Science Phylomemy : the Rise and Fall of Scientific Fields.

Community Explorer

Discover your socio-semantic background.

Municipales 2014

Ne vous abstenez pas de savoir. Quel est le score de civisme de votre commune ?

Monitoring Food Crisis

Montoring food crisis worlwide through newspaper mining.

Bias in biomedical litterature

Mapping Controversies - We used advanced text-mining and clustering techniques to evaluate 17,265,924 items from PubMed (1958-2008).

Which risk should you care about?

Risk Research - Mapping Worldwide resarch on risks Project.

Gargantext_logo

A generic platform to browse the knowledge spaces of unstructured corpora

PUBLICATIONS

Mozziconacci, J. (n.d.). 3D spatializer from contat matrix. Retrieved February 4, 2016, from https://sites.google.com/site/julienmozziconacci/#TOC-Publicly-available-softwares
Roth, C. (2007). Empiricism for descriptive social network models. Physica A: Statistical Mechanics and Its Applications, 378(1), 53–58. https://doi.org/10.1016/j.physa.2006.11.045
Roth, C. (2008). Coévolution des auteurs et des concepts dans les réseaux épistémiques : le cas de la communauté « zebrafish». Revue française de sociologie, 49(3), 523. https://doi.org/10.3917/rfs.493.0523
Chavalarias, David, & Cointet, Jean-Philippe. (2008). Multi-level Science mapping with asymmetric co-occurrence analysis: Methodology and case study. Networks and Heterogeneous Media, 267–276.
Roth, C., Obiedkov, S., & Kourie, D. G. (2008). ON SUCCINCT REPRESENTATION OF KNOWLEDGE COMMUNITY TAXONOMIES WITH FORMAL CONCEPT ANALYSIS. International Journal of Foundations of Computer Science, 19(02), 383–404. https://doi.org/10.1142/S0129054108005735
Chavalarias, D., & Cointet, J.-P. (2008). Bottom-up scientific field detection for dynamical and hierarchical science mapping, methodology and case study. Scientometrics, 75(1), 37–50. https://doi.org/10.1007/s11192-007-1825-6
Roth, C., & Cointet, J.-P. (2010). Social and semantic coevolution in knowledge networks. Social Networks, 32(1), 16–29. https://doi.org/10.1016/j.socnet.2009.04.005
Chavalarias, D., & Ioannidis, J. P. A. (2010). Science mapping analysis characterizes 235 biases in biomedical research. Journal of Clinical Epidemiology, 63(11), 1205–1215. https://doi.org/10.1016/j.jclinepi.2009.12.011
Chavalarias, David, Cointet J-P., & Cornilleau L., Duong T-K, Mogoutov A., Villard  L., Roth C., Savy T. (2011). Streams of Media Issues - Monitoring World Food Security. UN GLobal Pulse, Presented at United Nations, Oct.
Chavalarias, D., & Cointet, J.-P. (2013). Phylomemetic Patterns in Science EvolutiontextemdashThe Rise and Fall of Scientific Fields. PLoS ONE, 8(2), e54847. https://doi.org/10.1371/journal.pone.0054847
Delanoë, A., & Galam, S. (2014). Modeling a controversy in the press: The case of abnormal bee deaths. Physica A: Statistical Mechanics and Its Applications, 402(0), 93–103. https://doi.org/http://dx.doi.org/10.1016/j.physa.2014.01.054
Darmon, D., Omodei, E., & Garland, J. (2015). Followers Are Not Enough: A Multifaceted Approach to Community Detection in Online Social Networks. PLOS ONE, 10(8), e0134860. https://doi.org/10.1371/journal.pone.0134860
Rule, A., Cointet, J.-P., & Bearman, P. S. (2015). Lexical shifts, substantive changes, and continuity in State of the Union discourse, 1790–2014. Proceedings of the National Academy of Sciences, 112(35), 10837–10844. https://doi.org/10.1073/pnas.1512221112
Chavalarias, D., Wallach, J. D., Li, A. H. T., & Ioannidis, J. P. A. (2016). Evolution of Reporting P Values in the Biomedical Literature, 1990-2015. JAMA, 315(11), 1141. https://doi.org/10.1001/jama.2016.1952
Chavalarias, D. (2016). The unlikely encounter between von Foerster and Snowden: When second-order cybernetics sheds light on societal impacts of Big Data. Big Data & Society, 3(1), 2053951715621086. https://doi.org/10.1177/2053951715621086
Chavalarias, D. (2016). What’s wrong with Science? Scientometrics, 1–23. https://doi.org/10.1007/s11192-016-2109-9
Chavalarias, D. (2018, November 7). Fake news : l’arbre qui cache la forêt. AOC media - Analyse Opinion Critique. https://aoc.media/analyse/2018/11/07/fake-news-larbre-cache-foret/

  • Équipe

    David CHAVALRIAS, Directeur de recherche
    CNRS/EHESS, ISC-PIF/CAMS

    Alexandre DELANOË, Ingénieur de recherche
    CNRS/ISC-PIF

    Maziyar PANAHI, Ingénieur de recherche
    CNRS/ISC-PIF

    Anciens membres

    • Samuel Castillo, PhD CNRS/LIP6
    • Jean-Philippe Cointet, INRA researcher
    • Jean-Baptiste Leenart, freestyle developper
    • Simon Murail, Developer, CNRS/ISC-PIF
    • Camille Roth, Sciences-Po ResearcherA
    • Noé Gaumont, Post-Doc, Algodiv Project