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SUMMARY:Modelling Reciprocating Relationships with Hawkes Processes - Char
 les Blundell (Gatsby Unit\, UCL)
DTSTART:20130222T110000Z
DTEND:20130222T120000Z
UID:TALK43372@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:We present a Bayesian nonparametric model that discovers impli
 cit social structure from interaction time-series data. Social groups are 
 often formed implicitly\,\nthrough actions among members of groups. Yet ma
 ny models of social networks\nuse explicitly declared relationships to inf
 er social structure. We consider a particular class of Hawkes processes\, 
 a doubly stochastic point process\, that is able\nto model reciprocity bet
 ween groups of individuals. We then extend the Infinite\nRelational Model
  by using these reciprocating Hawkes processes to parameterise\nits edges\
 , making events associated with edges co-dependent through time. Our\nmode
 l outperforms general\, unstructured Hawkes processes as well as structure
 d\nPoisson process-based models at predicting verbal and email turn-taking
 \, and military conflicts among nations.
LOCATION:Engineering Department\, CBL Room BE-438
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