Imperial College London > Talks@ee.imperial > Featured talks > Game theory applied to competition for popularity over social networks

Game theory applied to competition for popularity over social networks

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If you have a question about this talk, please contact Tae-Kyun Kim.

The global Internet has enabled a massive access of internauts to content. At the same time it allowed individuals to use the Internet in order to distribute content. When individuals pass through a conotent provider to distribute contents, they can bene t from many tools that the content provider has in order to accelerate the dessiminaton of the content. These include cashing as well as recommendation systems. The content provider gives preferencial treatment to individuals who pay for advertisement. We shall present a study of competition between several contents, each characterized by some given potential popularity. We answer the question of when is it worthwhile to invest in adveretisement as a function of the potential popularity of a content as well as its competing contents, who are faced with a similar question. We formulate the problem as a stochastic game with a finite state and action space and obtain the structure of the equilibria policy under a linear structure of the dissemination utility as well as on the advertisement costs. We then consider open loop control (no state information) and solve the game using a transformation into a di fferential game with a compact state space. Our theoretical results will be accompanied by experimental data that we have been able to obtain by creating our own content. (http://www-sop.inria.fr/members/Eitan.Altman/)

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