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TZID:Europe/Paris
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BEGIN:VEVENT
UID:0-710@lptms.universite-paris-saclay.fr
DTSTART:20191022T110000Z
DTEND:20191022T120000Z
DTSTAMP:20191009T123920Z
URL:http://www.lptms.universite-paris-saclay.fr/seminars/seminaire-du-lptm
 s-denis-boyer-unam-mexico/
SUMMARY:Séminaire du LPTMS: Denis Boyer (UNAM\, Mexico) - Salle des sémin
 aires du FAST et du LPTMS\, bâtiment Pascal n°530 - 22 Oct 19 11:00
DESCRIPTION:Random walks on networks with stochastic resetting\nDenis Boyer
  (UNAM\, Mexico)\nResetting a stochastic process from time to time to the 
 initial state can represent an efficient search strategy for locating a hi
 dden target. This fact finds applications in statistical physics\, compute
 r science\, enzymatic reactions or foraging ecology. Random walks on gener
 al networks and subject to resetting have not been studied\, despite their
  relevance to epidemic spreading\, searching on the web or human mobility\
 , among others. We develop an extension to an arbitrary network topology o
 f the diffusion problem with stochastic resetting. Our formalism applies t
 o finite undirected networks and is implemented from the spectral properti
 es of the random walk without resetting. We show that resetting can allow 
 a faster exploration of many network architectures such as rings\, Cayley 
 trees\, random networks and complex networks\, highlighting the importance
  of the choice of the starting/resetting node. The small-world effect and 
 the presence of communities\, two properties of many real world etworks\, 
 strongly affects exploration strategies based on resetting.
CATEGORIES:seminars
LOCATION:Salle des séminaires du FAST et du LPTMS\, bâtiment Pascal n°53
 0\, rue André Riviere\, Orsay\, 91405\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=rue André Riviere\, Orsay\
 , 91405\, France;X-APPLE-RADIUS=100;X-TITLE=Salle des séminaires du FAST 
 et du LPTMS\, bâtiment Pascal n°530:geo:0,0
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