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+33 2 29 00 12 40

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Mme Ghislaine Le Gall
Département LUSSI
Technopôle Brest-Iroise CS 83818
29238 Brest Cedex 3


Département LUSSI
Technopôle Brest-Iroise CS 83818
29238 Brest Cedex 3


    Cécile Bothorel received her Engineer Diploma in Computer Science in 1995, her PhD degree in Computer Science, Distributed Artificial Intelligence (Orange Labs, Rennes; CNRS/LAAS - Université Paul Sabatier, Toulouse). During her PhD, she worked on Multi-Agent Systems and Social Recommender Systems
    She then worked as a researcher at Orange Labs (Lannion) for 10 years where she conducted various research in Social Media Analysis, Machine Learning and Recommender Systems. She directed phd students and postdocs, conceived and developped prototypes in the contexts of Knowledge Management, eLearning, and more generally Knowledge Sharing. She is the author of 4 patents.

    In 2009, she joined the LUSSI department in IMT Atlantique, Brest (ex Telecom Bretagne). She is an Associate Professor of Computer Science, teaching Programming, Graph Theory, Social Networks Analysis, Hadoop and Big Data Analytics. She is involved in the Master of Science in Computer Science and Decision Systems (CSDS) and also in various teaching in Creativity, Innovation and Entrepreneurship (e.g. First program,  Fondation Telecom).

    She is in charge of the Data Science one-year specialization of the Master of Science in Engineering "Diplôme d'Ingénieur", and is especially in charge of Data Science courses and student projects.

    As a member of UMR CNRS 6285 Lab-STICC, she works on Complex Networks Analysis and Graph Mining, focusing more particularly on the Detection of Communities over the social web and how to help practionners to understand and use clustering algorithms over Social Networks. The application areas are various, in Computer Science (algorithms and a toolbox to study graphs with attributes) and in pluridisciplinary fields, e.g. Management (study of the promotion process within Wikipedia administration), Economics (study of the impact of social interactions in the success of crowdfounded projects) or Ecology (study of the topology of networks of habitats of sea species and their robustness to global warming).

    She has been an expert for various innovative start-ups and the evaluation of research proposals for the ANR (French National Agency for Research programs). She is a Programme Committee Member for several international and national conferences (EGC, JFGG, MARAMI, DS, BESC, ECML PKDD, WWW, ...) and reviews (IJSNM, SNAM, IJPRAI, ACM TIST, ...).


    PhD students

    2018-2021 Mounir Haddad. Deep learning and video mouvement detection in interaction networks: analysis of communities dynamics. Co-directed with Philippe Lenca, IMT Atlantique and Dominique Bedart, Mikaël Campion, DSI Global Services

    2020 Furkan Gürsoy. 2 months sabbatical stay at IMT Atlantique. PhD student at Boğaziçi University, Istanbul, Turkey

    2015-2018 Vinh-Loc Dao. Community detection and evaluation in complex networks: a descriptive approach. Co-directed with Philippe Lenca, IMT Atlantique

    2011-2014 Duc Kinh Le Tran. Social Media analysis to enhance the Customer Relationship. Co-directed with Pascal Cheung, Orange Labs, Lannion.

    Dec 2009-Dec 2012 Juan David Gomez Cruz. Point of view Visualisation of socio-semantic networks. Co-directed with François Poulet, IRISA, Rennes 1.

    2007-2010 Damien Poirier. Opinion Mining on a Website for Recommendation systems. Co-directed with Patrick Gallinari, LIP6, Paris 6 and Isabelle Tellier, LIFO, Université d'Orléans, and Françoise Fessant, France Telecom R&D.

    2004-2009 Emilie Marquois-Ogez. Social Simulation of the participation on a mailing-list. Co-directed with Frédéric Amblard, IRIT, Toulouse.

    2000-2003 Karine Chevalier. Automatic profil learning from browsing logs  on a web site. Co-directed with Vincent Corruble and Jean-Gabriel Ganascia, LIP6, équipe APA, Paris 6.


    Post Doc students

    2019-2020 Raphaël Charbey. Detection of temporal motifs in temporal social networks.

    2012-2015 Romain Picot-Clemente. Social network analysis to enhance places recommendation in location-based social network. Large scale study and deployment of algorithms (MapReduce Hadoop/Mahout) with Sean Chalmers (Intership).

    2008 Mohamed Bouklit. Detection of communities in hypergraphs. Dynamic tag clouds functionality regarding the current request within a Prototype of cultural goods exploration. NeTopic project, Orange Explocentre.

    2006 Vincent Dubois. Complex network analysis and graph-mining. Socializing Knowledge Management prototype, Knowledge Management Project, France Telecom R&D. P2P networks visualisation for administration prototype. Freddy Project, France Telecom R&D. Graph management java-library toolkit, France Telecom R&D.


    Graduate Students

    Juil. 2013 - déc. 2013. Sean Chalmers. Investigation into the current state of the art with respect to 'Big Data' frameworks and libraries. Publication of a technical detailed report with recommendations according to the practioners' needs: volume, variety, variability, velocity, people (skills needed), infrastructure. Co-directed by Romain Picot-Clemente, postdoc fellow.

    Jan 2011 - Sept. 2011 Duc Kinh Le Tran. Conception et développement de fonctionnalités innovantes sociales pour un système de recommandation d'émissions de TV. Co-encadré par Pascal Cheung, Orange Labs, Lannion.

    Oct 2009 - April 2010 Owen Sacco. Exploiting web2.0 folksonomy mining for Web Social Semantic Information Retrieval problematics.

    2008 Mamadou Dembélé. Automatic Opinion Profile updating from textual reviews analysis. FP6 IST Pharos Project.

    2007 Julien Lejeune. BuzzAround, a buzz spreading web site. Open Orange 2.0 program.

    2005-2006 Cyrille Dechambenoit. Visualisation of the dynamics of social networks through emails exchange. Knowledge Science Research Program, France Telecom R&D.

    2003-2004 Marc Siramy, Anna Moalic. Visualisation and exploration of eLearners social networks. Knowledge Management Project, France Telecom R&D. Formatis Project, France Telecom R&D.




    Projet PIL (2018-2021) Projet ANR PIL

    Project funded by the French ANR.

    Analyse and assess the socio-economic effects of digital transformations on information quality and pluralism (QPI) in the media universe.



    Past Projects


    Pay2You Places (10/2011 - 04/2014)

    Projet FUI12 supported by the 'pôles Finance Innovation', 'Transactions électroniques Sécurisées' et 'Images et Réseaux'.

    Pay2You Places explores new payment usages via smartphones, from the payment solution to social recommendation for final users, and from an integrated payment solution to geomarketing support for professionals.


    VIPEER (11/2009 - 11/2012)


    Project funded by ANR Verso on Distributed Content Delivery Networks for Intra-domain Video Delivery, labelized by competitivity poles Images et Réseaux and SCS (Solutions Communicantes et Sécurisées).

    The main objective of the present project is to provide methods allowing a network operator to have explicit control on traffic flows related to video distribution. VIPEER builds upon the collaboration between a traditional CDN and a peer-assisted CDN or "distributed CDN" (dCDN), i.e. an overlay controlled by the network operator using P2P paradigms. The peers in the dCDN may be network elements such as network nodes or boxes located at customers' premises.


    Mazadoo2.0 (2010-2012)

    Project supported by the 'pôle de compétitivité mondial Images et Réseaux' and the 'Direction Générale de la compétitivité, de l’industrie et des services'.

    One of the biggest challenges we currently face is to keep elderly people immersed in their social environment when they leave their home and enter a retirement home. Many of them feel isolated. The TV stands as their favorite media, and our previous experiments showed that listening to vocalized local news and receiving TV messages and photos from family helped in fighting these feelings of isolation. Within this project, by using online social networks, we wish to involve the elderly in new types of interactions, more various and frequent. They will be more active and included in micro-conversations around multimedia contents. The retirement homes will benefit also from social networking capabilities. They will participate to the local news dedicated to the elderly people. In addition, the remote family will be informed of activities through an agenda and various publications.




    My main research interests embrace, but are not limited to, the following topics: Complex Networks Analysis, Machine Learning and Graph Mining, focusing more particularly on graphs with attributes.

    • Detection of implicit communities (clustering) in networks with attributes where both the structure of the network and the profiles of the people are combined to detect close and similar people
    • Evolution of communities, dynamics of interactions
    • Geolocalized social interactions to enhance remmender systems
    • Datamining and network metrics to measure engagement in social media (for CRM, for eMarketing)
    • Algorithms, visualization, toolbox for graphs with attributes analysis
    • Application in Recommender Systems, Marketing, Management, Economics, etc.


    Main courses

    • Data Science and Graph Theory applied to Social Networks Analysis through 3 challenges: How to  sign a fulltime job contract with Google (weak ties theory), How to fill missing profil data on LinkedIn (Homophily), How to stop Zombies invasion (Epidemics).
    • IA and Graph Theory in Python (PyRat): Shortest paths, Travelling Salesman Problem to win a search competition in a maze.
    • Introduction to Big Data: HDFS, Map Reduce
    • Data Science, form Tools to Valorization: How to formulate a problem, Describe data, Select relevant variables, Implement the analysis tasks with Python and/or Hadoop Spark, Evaluate the analysis and Valorize the results to a Manager.



    • Innovation/Entrepreneurship: Brainstorming, Lean Start-up, Business Model, Pitch
    • Tutoring of various student Projects (5 to 10 per year)
    • Tutoring of Internship Student (5 to 10 per year)