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SUMMARY:Inference and large-scale structure in networks - Mark Newman (Uni
 versity of Michigan)
DTSTART:20160915T130000Z
DTEND:20160915T140000Z
UID:TALK67377@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Characterization of network structure as focused on two differ
 ent scales:   small-scale structure\, represented by properties such as de
 grees\, correlations\, and clustering\, and large-scale structure\, which 
 is most commonly presented in terms of modules and community detection.&nb
 sp\; This talk will focus on large-scale structure\, but with the aim of g
 etting away from community structure\, which is well-trodden ground\, and 
 looking at other forms.&nbsp\; Working with generative models and a range 
 of model-based inference techniques\, I&#39\;ll talk about overlapping com
 munities\, hierarchical structure\, latent-space structure\, ranking\, and
  core-periphery structure\, among others.
LOCATION:Seminar Room 2\, Newton Institute
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