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UID:20250712T164238EDT-3836dPu35H@132.216.98.100
DTSTAMP:20250712T204238Z
DESCRIPTION:Title: Network archeology: on revealing the past of random tree
 s\n\nAbstract: Networks are often naturally modeled by random processes in
  which nodes of the network are added one-by-one\, according to some rando
 m rule. Uniform and preferential attachment trees are among the simplest e
 xamples of such dynamically growing networks. The statistical problems we 
 address in this talk regard discovering the past of the network when a pre
 sent-day snapshot is observed. Such problems are sometimes termed 'network
  archeology'. We present a few results that show that\, even in gigantic n
 etworks\, a lot of information is preserved from the very early daysRésumé
 Networks are often naturally modeled by random processes in which nodes of
  the network are added one-by-one\, according to some random rule. Uniform
  and preferential attachment trees are among the simplest examples of such
  dynamically growing networks. The statistical problems we address in this
  talk regard discovering the past of the network when a present-day snapsh
 ot is observed. Such problems are sometimes termed 'network archeology'. W
 e present a few results that show that\, even in gigantic networks\, a lot
  of information is preserved from the very early daysRésuméNetworks are of
 ten naturally modeled by random processes in which nodes of the network ar
 e added one-by-one\, according to some random rule. Uniform and preferenti
 al attachment trees are among the simplest examples of such dynamically gr
 owing networks. The statistical problems we address in this talk regard di
 scovering the past of the network when a present-day snapshot is observed.
  Such problems are sometimes termed 'network archeology'. We present a few
  results that show that\, even in gigantic networks\, a lot of information
  is preserved from the very early days\n
DTSTART:20191017T193000Z
DTEND:20191017T203000Z
LOCATION:Room PK-5115 \, CA\, Pavillon President-Kennedy (UQAM)
SUMMARY:Gabor Lugosi\, Pompeu Fabra University\, Spain
URL:/mathstat/channels/event/gabor-lugosi-pompeu-fabra
 -university-spain-301626
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