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SUMMARY:Multi-relational Organization of Large-scale Social Networks in an
  Online World - Renaud Lambiotte (Imperial College London)
DTSTART:20101028T150000Z
DTEND:20101028T160000Z
UID:TALK26376@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:The capacity to collect fingerprints of individuals in online 
 media  \nhas revolutionized the way researchers explore social systems. Th
 ese  \nsystems can be seen as a non-linear superposition of a multitude of
   \nlarge\, complex social networks\, where nodes represent individuals an
 d  \nlinks capture all sorts of different  social relations. Much emphasis
   \nhas been put on the network topology of social interactions\, however\
 ,  \nthe multi-dimensional nature of these interactions has largely been  
 \nignored in empirical studies\, mostly because of lack of data. For the  
 \nfirst time here we analyze a complete\, multi-relational\, large social 
  \nnetwork of a society consisting of the 300\,000 odd players of a  \nmas
 sive multiplayer online game. We extract networks of six different  \ntype
 s of one-to-one interactions between the players. Three of them  \ncarry a
  positive connotation (friendship\, communication\, trade)\, three  \na ne
 gative (enmity\, armed aggression\, punishment). We first analyze  \nthese
  types of networks as separate entities and find that negative  \ninteract
 ions differ from positive interactions by their lower  \nreciprocity\, wea
 ker clustering and fatter-tail degree distribution. We  \nthen proceed to 
 explore how the inter-dependence of different network  \ntypes determines 
 the organization of the social system. In particular  \nwe study correlati
 ons\, overlap and causality between different types  \nof links and demons
 trate the tendency of individuals to play different  \nroles in different 
 networks. Finally we present empirical large-scale  \nverification of the 
 long-standing  structural balance theory\, by  \nfocussing on the specific
  multiplex network of friendship and enmity  \nrelations.\n\n\nBio: Renaud
  Lambiotte holds a PhD in physics from Université Libre  \nde Bruxelles. 
 He is currently research associate in the department of  \nMathematics at 
 Imperial College London. His research field includes  \nnon-equilibrium st
 atistical physics and complex networks\, with  \napplications in social sy
 stems and neuroscience. Previous works  \ninclude the analysis of large-sc
 ale social networks (mobile phones and  \nonline games)\, the modeling of 
 spatial diffusion of social agents\, the  \ndetection of dense modules in 
 large networks and their effect on  \ninformation diffusion and knowledge 
 creation. \n\nWebsite: http://www.lambiotte.be
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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