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DTSTAMP:20261015T105217Z
LAST-MODIFIED:20201117T211634Z
DTSTART:20201118T140000Z
DTEND:20201118T150000Z
UID:event2378@bu.edu
URL:http://physics.bu.edu/internal/events/show/2378
SUMMARY:Role of bridge nodes in epidemic spreading: Different regimes and c
	rossovers
DESCRIPTION:Featuring Jing Ma\, Boston University\, Physics Department\n\nP
	art of the Preliminary Oral Exam.\n\nPower-law behaviors are common in many
	 disciplines\, especially in network science. Real-world networks\, like di
	sease spreading among people\, are more likely to be interconnected communi
	ties\, and show richer power-law behaviors than isolated networks. In this 
	work\, we are going to look at the system of two communities\, which are co
	nnected by bridge links between a fraction r of bridge nodes\, and study th
	e effect of bridge nodes to the final state of the Susceptible-Infected-Rec
	overed model\, by mapping it to link percolation. By keeping a fixed averag
	e connectivity\, but allowing different transmissibilities along internal a
	nd bridge links\, we find different power-law asymptotic behaviors of the t
	otal fraction of the recovered R in the final state as r goes to zero\, for
	 different combinations of internal and bridge link transmissibilities. We 
	also find crossover points where R follows different power-law behaviors wi
	th r on both sides when the internal transmissibility is below but close to
	 its critical value for different bridge link transmissibilities. All of th
	ese power-law behaviors can be explained through different mechanisms of ho
	w finite clusters in each community are connected into the giant component 
	of the whole system\, and enable us to pick effective epidemic strategies a
	nd to better predict their impacts.\n\n--\n\nJoin Zoom Meeting\nhttps://bos
	tonu.zoom.us/j/99837757146?pwd=ekkzRFJzNGwrQ09aZlBMaGl1QlRKZz09\n \n\nMeeti
	ng ID: 998 3775 7146\n\nPasscode: 484854
LOCATION: \, \, 
STATUS:CONFIRMED
CLASS:PUBLIC
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