Dissemination and competition between contents in lossy susceptible infected susceptible (SIS) social networks

Julio Cesar Louzada Pinto, Tijani Chahed, Eitan Altman, Tamer Başar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We model in this work dissemination of contents and competition between sources of contents in social networks composed of a given number of resources (channels or links) used by sources for dissemination of their contents, in the case where some of these resources may be lost during the propagation process, corresponding to the so-called Susceptible Infected Susceptible (SIS) model. We consider two approaches: A static one wherein the source can apply some control, in terms of advertisement for instance, at the start of the dissemination process, and a dynamic one where control can be done at every point in time. We derive, in each case, optimal controls and strategies that maximize the distribution of the contents for linear cost functions, and characterize the Nash equilibrium of the corresponding games: static game for the static optimization case, and differential and stochastic games for the dynamic case, the former when the information on content dissemination is not available at the sources, and the latter when it is.

Original languageEnglish (US)
Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5789-5796
Number of pages8
ISBN (Print)9781467357173
DOIs
StatePublished - Jan 1 2013
Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
Duration: Dec 10 2013Dec 13 2013

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other52nd IEEE Conference on Decision and Control, CDC 2013
Country/TerritoryItaly
CityFlorence
Period12/10/1312/13/13

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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