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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260828T011327Z
LAST-MODIFIED:20180312T132955Z
DTSTART:20180312T163000Z
DTEND:20180312T173000Z
UID:event1912@bu.edu
URL:http://physics.bu.edu/internal/events/show/1912
SUMMARY:"Evolutionary dynamics on any population structure"
DESCRIPTION:Featuring Benjamin Allen\, Emmanuel College\nHosted by: Kirill 
	Korolev\n\nPart of the Biophysics Seminars.\n\nThe evolution of social beha
	vior can be modeled using evolutionary game theory. Population structure\, 
	which can be represented as a graph or network\, affects which traits evolv
	e. Understanding evolutionary game dynamics in heterogeneously structured p
	opulations is difficult.  For arbitrary selection intensity\, the problem i
	s in a computational complexity class which suggests there is no efficient 
	algorithm. I will present recently published work that provides a solution 
	for weak selection\, which applies to any graph or social network. The meth
	od uses coalescent theory and relies on calculating the meeting times of ra
	ndom walks. The method is used to evaluate large numbers of diverse and het
	erogeneous population structures for their propensity to favor cooperation.
	  I will demonstrate how small changes in population structure---graph surg
	ery---affect evolutionary outcomes. It turns out that cooperation flourishe
	s most in societies that are based on strong pairwise ties.
LOCATION:SCI 352\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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