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Σεμινάριο Επιχειρησιακής Έρευνας - Πιθανοτήτων - Στατιστικής - Κιμων Δρακόπουλος

Πότε 08/11/2017
από 11:30 έως 12:30
Που Α32
Προσθήκη γεγονότος στο ημερολόγιο vCal
iCal

Networks: from controlling epidemics to fighting fake news


Κίμων Δρακόπουλος, Assistant Professor, University of Southern California, USA.


Περίληψη

In the first part of this talk, we will consider the propagation
of a contagion process (“epidemic”) on a network and study the problem of
dynamically allocating a fixed curing budget to the nodes of the graph, at
each time instant. We will provide a dynamic policy for the rapid
containment of a contagion process modeled as an SIS epidemic on a bounded
degree undirected graph with n nodes and establish a fairly sharp phase
transition on the expected time to extinction (sublinear versus
exponential) based on the relation between the CutWidth and the curing
budget. We will then provide an empirical approach to identifying the
strength of the network effects that determine the propagation of
influenza in the United states and show the effect of network based
interventions on the number of infections.

In the second part we will focus on the tradeoff between user engagement
and misinformation faced by an online social networking platform. The
content available on the platform is possibly erroneous. Agents decide
whether to engage with the content based on their direct satisfaction from
engaging, the disutility from engaging with erroneous content, and the
positive externality that they derive from engaging with the same content
as their friends in the underlying social network. The platform knows the
error associated with the content and can signal it to the agents so as to
induce a desired engagement behavior. We provide a full characterization
of the optimal signaling strategy and show how the dependence on the
underlying network topology.


Σύντομο Βιογραφικό: Kimon Drakopoulos received the diploma in electrical
and computer engineering from the National Technical University of Athens,
Athens, Greece and the PhD degree in electrical engineering and computer
science from the Massachusetts Institute of Technology, Cambridge, MA.
Currently, he is an Assistant Professor of Data Sciences and Operations at
the University of Southern California.  His current research interests
include social network analysis, network science, applied probability,
game theory, and network economics.



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