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BEGIN:VEVENT
DTSTAMP:20261002T031151Z
LAST-MODIFIED:20150122T174652Z
DTSTART:20150121T050000Z
DTEND:20150121T170000Z
UID:event1376@bu.edu
URL:http://physics.bu.edu/internal/events/show/1376
SUMMARY:CMT Group Meeting
DESCRIPTION:Featuring Nima Dehmamy\, Boston University\n\nPart of the Conde
	nsed Matter Theory Seminar Series.\n\n"Building Landau-Ginzburg-type effect
	ive Lagrangians for Dynamic Networks."\n\nAbstract:\n\nSome networks are hi
	ghly dynamic and weighted. Networks such as Economic\, financial\, and powe
	r grids have the properties that:\n1) The links are weighted and highly dyn
	amic; 2) Nodes have dynamical functions as attributes e.g. financial\ncapit
	al\, value\, or electric power generation capacity\, etc.; 3) The nodes and
	 the links are trying to optimize something e.g.\nincrease profitability\, 
	avoid risk and loss\, or load balancing\, power delivery efficiency and avo
	iding blackouts; 4) They seem to have "healthy" and "unstable" phases i.e. 
	market crash\, blackout etc.. Similar things can be claimed about social ne
	tworks\, where people have "social capital" and are optimizing certain "soc
	ial benefit" or happiness. This optimization suggests that there may be a c
	lassical action principle at work here\, and indeed the use of Lagrangians 
	in finance and control theory is common practice. It is however much less c
	ommon to use it with random networks as input. I will first briefly present
	 a phase transition observed in a phenomenological model\, in which we are 
	able to predict financial crises. Then I will show how using basic physical
	 Landau-Ginzburg model building methods one can build a very general dynami
	cal model for such systems and derive the phase transition from stable to u
	nstable phase analytically in some cases.
LOCATION:SCI 328\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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