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SUMMARY:Inferring the structure of sparse propagation networks for the spr
 ead of epidemics
DTSTART:20160701T100000
DTEND:20160701T120000
DTSTAMP:20260510T165123Z
UID:b7d9a578534518b7580e6680f327c528077e1ddd96ee44bae0716ee6
CATEGORIES:Conferences - Seminars
DESCRIPTION:William Trouleau\nEDIC Candidacy Exam\nExam President: Prof.Mi
 chael Gastpar\nThesis Director: Prof. Matthias Grossglauser\nThesis co-dir
 ector: Prof. Patrick Thiran\nCo-examiner: Prof. Marcel Salathé\nBackgroun
 d papers:Uncovering the structure and temporal dynamics of information pro
 pagation.Reconstructing propagation networks with natural diversity and id
 entifying hidden sources.The behavior of epidemics under bounded susceptib
 ility.Abstract:\nAs the world population becomes more urbanized and interc
 onnected\, minor epidemics are more likely to take global dimensions and t
 urn into disastrous pandemics. Modeling the spread of infectious diseases 
 is thus a crucial tool to assist health organizations in controlling the e
 volution of such epidemics. Recent models tried to improve the state of th
 e art results by taking into account the social network over which the inf
 ection propagates. However\, observing this network requires an expensive 
 procedure. Therefore\, it is usually not accessible to epidemiologists and
  should be inferred in order to apply advanced epidemic models. The idea o
 f the network inference problem is to reconstruct the network over which a
 n infection spreads while observing only the outcome of a dynamical proces
 s propagating over it.\nIn this proposal\, we discuss three recent backgro
 und works in epidemic modeling and network inference. We first motivate th
 e network inference problem with a study on the effect of network topology
  on the spread of epidemics. We then investigate two approaches to network
  inference coming from different academic communities and based on distinc
 t theoretical frameworks. Finally\, we show how these studies lay the foun
 dations of our research directions
LOCATION:BC 229 https://plan.epfl.ch/?room==BC%20229
STATUS:CONFIRMED
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