Fullscreen
Loading...
 
(Cached)
Actualiser

Web mining and Quantitative Epistemology

Image
How is science evolving? Is it possible to map the landscapes of science and its transformations? Can we automatically decipher the history of a research field, monitor emerging fields and detect research hybridization events? Numerous theories, and more or less conceptual models of science evolution have been contemplated in the philosophy of science, and in Science & Technology Studies. However, whatever the driving forces behind science evolution, there is still a lack of empirical instruments allowing researchers to fully understand the nature
of these transformations. Meanwhile, the recent ICT revolution has, at an ever-growing pace, opened up new digital spaces, offering new opportunities to track the dynamics of knowledge through the examination of its digital trails. For example, the current massive availability of online data related to science production provides a unique opportunity to map the ever- fluctuating scientific landscape and to unveil regular dynamical patterns from large-scale longitudinal observations. This research program aims at proposing new methods that reconstructs the dynamics of scientific fields in order to get insight into science evolution.
These methods are also applied to other kinds of media such as the newspapers or the blogosphere.

Publications

typeAuthorTitleSourceYearInvert Sort
mediaDavid Chavalarias, Jean-Baptiste Leenart, Laura HernandezNe vous abstenez pas de savoir 2014
seminarsDavid ChavalariasUnlikely meeting between von Foerster and Snowden: when the second cybernetics gives insights on the Big Data revolutionData, digital methods and mapping social complexity 2014
invited speakerDavid ChavalariasMonitoring science dynamicsOECD-experts dialogue on scientometrics2014
invited speakerDavid ChavalariasQuantifying knowledge evolution in online media : automated narratives with phylomemiesFlow Machines Workshop 2014: Creativity and Universality in Language2014
invited speakerDavid ChavalariasDE VON FOERSTER À SNOWDEN Lorsque la seconde cybernétique rencontre le Big DataFIGURES DE L'AUTOTRANSCENDANCE POUR UNE SOCIÉTÉ DE L'OUROBOROS, Colloque de Cerisy2014
in proceedingsAlexandre Delanoe, David Chavalarias and Alain AngladeDematerialization and Environment: a text-mining landscape on academic, blog and press publications.ICT4S2014
workshopsDavid Chavalarias, Jean-Philippe CointetExploration of static and temporal properties of Astrophysic sciences: maps and phylomemiesCOST Workshop : Measuring the Diversity of Research2014
peer reviewed papersChavalarias D. and Cointet J-P. Phylomemetic Patterns in Science Evolution - The Rise and Fall of Scientific FieldsPLoS One2013
mediaDavid Larousserie L'histoire des sciences dévoilée par les mathsLe Monde2013
seminarsDavid ChavalariasSur les Traces de la société numérique - Quantification de l’évolution des sujets dans les sciences, la presse et la blogosphèreDe la diversité des humanités numériques : une exploration des pratiques2013
otherDavid ChavalariasCartographie des approches du risqueSalon Innovatives SHS2013
workshopsDavid ChavalariasLa cartographie des dynamiques culturelles: reconstruction phylogénétique des communautés scientfiquesOutils et expériences en humanités numériques2013
workshopsDavid ChavalariasMining the online traces of the digital society : quantifying the evolution of topics in the scientific literature, the press and the blogosphereFrance-Taiwan Frontiers of Science2013
mediaDavid Chavalarias and Jean-Philippe CointetScience PhylomemyPlaces and Spaces2013
seminarsDavid ChavalariasSur les Traces de la société numériqueCafé des Sciences de Supelec2013
white paperChavalarias D., Cointet J-P., Cornilleau L., Duong T-K, Mogoutov A., Villard L., Roth C., Savy T.Streams of Media Issues - Monitoring World Food SecurityUN Global Pulse2011
peer reviewed papersChavalarias & IoannidisScience mapping analysis characterizes 235 biases in biomedical researchJournal of Clinical Epidemiology2010
technical report Christian Belbeze, David Chavalarias, Ludovic Denoyer, Raphaël Fournier, Jean-Loup Guillaume, Matthieu Latapy, Clémence Magnien, Guillaume Valadon, Vasja Vehovar, and Ales ZibernaAutomatic Identification of Paedophile Keywords Measurement and Analysis of P2P Activity Against Paedophile Contenthttp://antipaedo.lip6.fr2010
pre-printChavalarias D. & Cointet J-P.The Reconstruction of SCience PhylogenyArXiv2009
peer reviewed papersChavalarias D. & Cointet J-PBottom-up scientific field detection for dynamical and hierarchical science mapping - methodology and case study Scientometrics2008
peer reviewed papersCointet J-P., Chavalarias D.Multi-level Science mapping with asymmetric co-occurrence analysis: Methodology and case study Networks and Heterogeneous Media2008
conference talksChavalarias D. and Cointet J-PReconstructing the multi-scale phylogeny of scienceEuropean Conference on Complex Systems 2008
conference talksFunabashi M., Chavalarias D. and Cointet J-P.Detecting Context as Significant Order-wise Correlation in Text DataEuropean Conference on Complex Systems2008
in proceedingsChavalarias D., Cointet J-P.Science mapping with asymmetric co-occurrence analysis: Methodology and case studyProceedings of the European Confererence on Complex Systems2007
conference talksChavalarias, D & Jean-Philippe CointetDetecting epistemic fields dynamics from a scientific content databaseThird International Conference on Webometrics, Infometrics, Scientometrics and Science and Society & Eighth COLLNET Meeting2007