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SUMMARY:Geolocated Datasets for Urban Science - Bruno Goncalves
DTSTART:20171123T150000Z
DTEND:20171123T160000Z
UID:TALK86561@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:The advent of massive online social networks has allowed us to
  map the way in which individuals interact and mutually influence each oth
 er. By directly observing what is being shared publicly we can also track 
 how individual pieces of information or memes diffuse along the edges of t
 he network. \n\nWe present simple models that combine information and soci
 al layers and that are able to predict the main features of the interplay 
 between geography and social interactions. In addition\, we will analyze h
 ow the location impacts human mobility\, social structure and language use
  at different spatial scales.
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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