Chaire Réseaux Sociaux

Cécile Bothorel

cecile-bothorelCécile Bothorel received her Engineer Diploma in Computer Science from EFREI (Ecole Française d’Electronique et d’Informatique, Paris) in 1995, her Master Degree (DEA Information Scientifique et Technique, Paris 7 and CEA ) in 1996, and her PhD degree in Computer Science, Distributed Artificial Intelligence (both France Telecom R&D and  CNRS/LAAS – Université Paul Sabatier, Toulouse). During her PhD, she worked on Multi-Agent Systems; she conceived and developped an auto-adaptative recommender system guiding Internet users’ browsing on the Internet.

She then worked as a researcher at France Telecom R&D (Lannion) for 10 years. Interested in Online Communities and Recommender Systems, she conducted various research exploiting « web2.0 usage analysis »: automatic profile learning from browsing logs, detection of communities of interest over the French Web (RNRT Comminges Project), development of a collaborative work platform connecting people sharing the same habits and interests, study of the dynamics of mailing-lists’ participation, interaction networks visualisation, opinion mining in movie fan communities (FP6 IST Pharos project)…

She directed phd students, postdocs, internship students. She conceived and developped prototypes in the contexts of Knowledge Management, eLearning, and more generally Knowledge Sharing. She is the author of 4 patents (one of them has been re-used by Yahoo!).

In 2007 she was responsible of the « Knowledge Sharing » thematic within a Research Program called « Knowledge Science » at France Telecom R&D.

In 2009, she joined the LUSSI department in TELECOM Bretagne where she conducts work on the socio-semantic networks analysis, focusing more particularly on the detection of implicit communities of interest over the web,  the proximity computation within networks, network analysis-based recommendation problematics, and the explicitation of individual Digital Identity among a more global community.

She is a scientifical expert evaluator for ANR (French National Agency for Research programs) and a reviewer for several internationaland national conference.

Publications récentes

Communication dans une conférence à comité de lecture

BOTHOREL Cécile, LOHR Christophe, THÉPAUT André, BONNAUD Fabrice, CABASSE Gilbert From individual communication to social networks: evolution of a technical platform for the elderly. ICOST 2011: International Conference On Smart homes and health Telematics, LNCS Springer Berlin / Heidelberg, 20-22 june 2011, Montréal, Canada, 2011, vol. 6719/2011, pp. 145-152

CRUZ GOMEZ Juan David, BOTHOREL Cécile, POULET François Semantic clustering of social networks using points of view. CORIA: conférence en recherche d’information et applications 2011, 16-18 march 2011, Avignon, France, 2011

CRUZ GOMEZ Juan David, BOTHOREL Cécile, POULET François Entropy based community detection in augmented social networks. International Conference on Computational Aspects of Social Networks, Salamanca : 19-21 october 2011, Salamanca, Spain, 2011, pp. 163-168, ISBN 9781457711312

Chapitre dans un livre

POIRIER Damien, BOTHOREL Cécile, GUIMIER DE NEEF Émilie, BOULLÉ Marc Automating opinion analysis in film reviews: the case of statistic versus linguistic approach. Affective Computing and Sentiment Analysis: Emotion, Metaphor and Terminology, Springer, 2011, pp. 139-156, ISBN 978-9400717565

CRUZ GOMEZ Juan David, BOTHOREL Cécile, POULET François Point of view based clustering of socio-semantic networks. january 2011, 2 p.

SACCO Owen, BOTHOREL Cécile Exploiting semantic web techniques for representing and utilising folksonomies. MSM’10 : International Workshop on Modeling Social Media 2010, ACM DL, 13-13 june 2010, Toronto, Canada, 2010, pp. 1-8, ISBN 978-1-4503-0229-6

POIRIER Damien, FESSANT Françoise, BOTHOREL Cécile, GUIMIER DE NEEF Émilie, BOULLÉ Marc Approches
statistique et linguistique pour la classification de textes d’opinion portant sur les films
. Revue des nouvelles technologies de l’information (RNTI), 2009, vol. 910, pp. 1-
202

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