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SUMMARY:Research opportunities and problems in scalable social networking 
 analysis - Rob Warren (University of Zurich)
DTSTART:20091013T133000Z
DTEND:20091013T143000Z
UID:TALK19994@talks.cam.ac.uk
CONTACT:Pedro Brandao
DESCRIPTION:*Slides "available":http://www.cl.cam.ac.uk/research/srg/opera
 /meetings/priv-attachments/2009_10_13_ScalableSocNetChallenges_Warren.pdf 
 * _(only for CL members)_\n\nWith the advent of online tools\, social netw
 orking has become a household world that is taken to allow for little more
  than communicating the latest you-tube video to friends. Similarly\,  Mil
 gram's original work on chains of relationships engendered the idea  of "s
 ix degrees of separation". Social network analysis is a powerful tool that
  can be used to infer information about a person\, their preferences and t
 heir behaviours\, sometimes with a higher precision than self-reported dat
 a.\n\nThe use of a network approach allows us not only to recommend prefer
 ences\, but also verify profile data and predict affinity networks. In thi
 s talk I will review some of the work previously done on data-mining socia
 l networking data as well as some new research on  \ncross linking network
 s from other data sets. These approaches are creating new computer science
  research areas\, such as _'The Loading Problem'_ where the required compu
 tation of an answer in disproportionate to cost of handling the informatio
 n.\n\n*Short bio*\n\nI am a "PostDoctoral follow (Oberassistent) in the Dy
 namic and Distributed Information Systems Group at the University of Zuric
 h":http://www.ifi.uzh.ch/ddis/people/robert-warren/. I obtained my doctora
 te from the University of Waterloo in Canada and dabble in industrial and 
 government research assignments. \n
LOCATION:Room FW11\, Computer Laboratory\, William Gates Building
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