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SUMMARY:CNN Seminar - Inferring social network structure in ecological sys
 tems from spatio-temporal data streams - Dr Ioannis Psorakis (Oxford Mathe
 matical Institute and Thought Machine)
DTSTART:20141028T163000Z
DTEND:20141028T173000Z
UID:TALK55817@talks.cam.ac.uk
CONTACT:Petra Vertes
DESCRIPTION:We propose a collection of analytical and computational method
 s for inferring the underlying social structure of a given animal populati
 on\, observed only via timestamped occurrences of its members across a ran
 ge of locations. We show that such data streams have a modular and tempora
 lly-focused structure\, neither fully ordered nor completely random\, with
  individuals appearing in “gathering events”. By exploiting such struc
 ture\, we propose an appropriate mapping of those spatio-temporal data str
 eams to a social network\, based on the co-occurrences of individuals acro
 ss gathering events. The methods proposed are applied on a data set of wil
 d-bird visitations in order to explore bird sociality\, reveal its interna
 l organisation across a variety of different scales and provide insights i
 nto important biological processes relating to mating pair formation.
LOCATION:Keynes Hall in King's College
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