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VERSION:2.0
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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260914T141758Z
LAST-MODIFIED:20150129T144451Z
DTSTART:20150130T200000Z
DTEND:20150130T210000Z
UID:event1400@bu.edu
URL:http://physics.bu.edu/internal/events/show/1400
SUMMARY:"From Classical Fields to Complex Networks of Arbitrary degree dist
	ribution and high clustering"
DESCRIPTION:Featuring Nima Dehmamy\, Boston University\n\nPart of the Bioph
	ysics/Condensed Matter Seminar Series.\n\nAbstract:\n\nMany real world netw
	orks\, such as social networks\, are primarily formed\nthrough local intera
	ctions between agents. Additionally\, in contrast\nwith common network mode
	ls\, social and biological networks exhibit\na high degree of clustering. H
	ere we construct a class of network\ngrowth models based on local interacti
	ons on a metric space\, capable\nof producing arbitrary degree distribution
	s as well as a naturally\nhigh degree of clustering akin to biological netw
	orks.  As a specific\nexample\, we study the case of random-walking agents\
	, though most results\nhold for any linear stochastic dynamics.  Agents for
	m bonds when they\nmeet at designated locations we refer to as ``rendezvous
	 points.''\nThe spatial distribution of the rendezvous points determines ke
	y characteristics\nof the network such as the degree distribution. For any 
	arbitrary\n(monotonic) degree distribution\, we are able to analytically so
	lve\nfor the required rendezvous point distribution.
LOCATION:SCI 328\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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