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Structure and Information flow in Social Networks – Data R&D Institute by emlyon business school

Structure and Information flow in Social Networks

Ian Davidson, Professor of Computer Science at UC Davis

We are honoured to receive Prof. Ian Davidson for this talk.

Bio: Ian Davidson is a Professor of Computer Science at UC Davis (https://faculty.engineering.ucdavis.edu/davidson). His research focuses on AI, machine learning, and data mining. He has done major contributions around topics of clustering, and worked on applications to areas with societal impacts such as neuroscience, intelligent tutoring systems and social network. He publishes regularly in the best conferences (AAAI, KDD, ICDM)  and journals (DMKD, TKDD, TKDE) of this field.

Title: Structure and Information flow in Social Networks

Abstract:

Social networks are now the dominant source of news throughout the world. They have been a major driver behind social justice movements, elections, and fake news. However, the underlying structure of social networks and how information propagates through them is still not well understood. We discuss challenges and plans to address these topics.

Time and Location: Dec 7, 2pm, emlyon business school (directions) in  Building A, Amphi 5.
Contact: Renaud Demesmay (demesmay@em-lyon.com) or Jean Savinien (savinien@em-lyon.com)
By | 2017-12-06T07:28:58+00:00 November 17th, 2017|english, event, News|0 Comments

About the Author:

Clement Levallois is Associate Professor and Head of the Data R&D Insitute at emlyon business school. More info at http://clementlevallois.net

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