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SUMMARY:CNN seminar - Mining real-world networks: from biology to economic
 s - Dr Natasa Przulj (Reader in Computational Network Biology\, Imperial C
 ollege) 
DTSTART:20140211T163000Z
DTEND:20140211T173000Z
UID:TALK50862@talks.cam.ac.uk
CONTACT:Petra Vertes
DESCRIPTION:Comparing networks is important for understanding the organiza
 tional principles and tracking the dynamics in a broad spectrum of areas t
 hat involve many interacting objects. Examples include relationships betwe
 en people\, the global climate system\, the world’s     economic system\
 , bindings between bio-molecules in a cell\, and much else. We introduce n
 ew network analysis\, comparison and alignment methods\, based on counts o
 f local subnetworks\, which are easy to compute and produce meaningful and
  robust results along a wide array of networks. We validate them on simple
  models\, for which\, unlike for real world\, we know the answers and henc
 e can check the validity of the methods. Also\, we apply them to real-worl
 d networks from several domains and uncover new domain-specific knowledge.
  \n\nNOTE that the seminar will take place in the Munby Room in King's Col
 lege (it's not far from Keynes Hall and there will be signs to direct you 
 there). 
LOCATION:Munby Room in King's College
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