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SUMMARY:Communities and privacy in mobile phone social networks - Vincent 
 Blondel\, Université catholique de Louvain
DTSTART:20160311T143000Z
DTEND:20160311T153000Z
UID:TALK64934@talks.cam.ac.uk
CONTACT:Tim Hughes
DESCRIPTION:We describe several recent results on large network analysis w
 ith a special emphasis on community detection and on the analysis of mobil
 e phone datasets. In particular\, we describe the Louvain method that and 
 can be routinely used for analyzing networks with billions of nodes or lin
 ks. We analyze communities obtained on a social network constructed from m
 obile phone communications that span periods covering several months. We a
 lso describe applications of mobile phone dataset analysis for a range of 
 applications such as urban planning\, traffic optimization\, monitoring of
  development policy\, crisis management\, and control of epidemics. With t
 hese applications in mind\, we analyze the privacy threats of anonymized m
 obile phone dataset and show that human behavior puts fundamental natural 
 constraints to the privacy of individuals.\n\nShort Bio: Vincent D. Blonde
 l is professor of applied mathematics and president of the University of L
 ouvain in Belgium. He is affiliated with the Massachusetts Institute of Te
 chnology (Cambridge\, USA) where he was a visiting professor and Fulbright
  scholar. He has held various appointments\, including at the Royal Instit
 ute of Technology (Stockholm\, Sweden)\, at INRIA (Paris)\, and at the Uni
 versity of California\, Santa Barbara. Vincent has directed more than thir
 ty PhD and postdocs. He is a IEEE and SIAM Fellow\, and is the recipient o
 f several international prizes\, including the IEEE Ruberti prize and the 
 SIAM prize on control and systems theory. He is a pioneer in the analysis 
 of mobile phone datasets and the organizer of several international challe
 nges on mobile phone datasets analysis. His recent work has been widely fe
 atured\, including in Wired\, Technology Review\, Le Monde\, La Recherche\
 , BBC\, CNN\, Der Spiegel\, The Wall Street Journal and The New York Times
 . 
LOCATION:Cambridge University Engineering Department\, LR12
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