A game theoretical approach to broadcast information diffusion in social networks

Authors:
D. Zinoviev;V. Duong
Affiliations:
Suffolk University, Boston, Massachusetts;Suffolk University, Boston, Massachusetts
Venue:
Proceedings of the 44th Annual Simulation Symposium
Year:
2011

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Abstract

One major function of social networks (e.g., massive online social networks) is the dissemination of information, such as scientific knowledge, news, and rumors. Information can be propagated by the users of the network via natural connections in written, oral or electronic form. The information passing from a sender to receivers and back (in the form of comments) involves all of the actors considering their knowledge, trust, and popularity, which shape their publishing and commenting strategies. To understand such human aspects of the information dissemination, we propose a game theoretical model of a one-way information forwarding and feedback mechanism in a star-shaped social network that takes into account the personalities of the communicating actors.