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SUMMARY:Estimating the number of communities in a network - Gesine Reinert
  (University of Oxford)
DTSTART:20160727T083000Z
DTEND:20160727T090000Z
UID:TALK66846@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Community detection has been a main topic in the analysis of n
 etworks. While there exist a range of powerful and flexible methods for di
 viding a network into a specified number of communities\, it is an open qu
 estion how to determine exactly how many communities one should use. We an
 swer this question based on a combination of methods from Bayesian analysi
 s and statistical physics. We demonstrate the approach on a range of real-
 world examples with known community structure\, finding that it is able to
  determine the number of communities correctly in every case.   &nbsp\;  <
 br><span><br>This is joint work with Mark Newman (University of Michigan)&
 nbsp\;</span>
LOCATION:Seminar Room 1\, Newton Institute
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