Dynamic human behaviour based epidemic content dissemination in mobile social networks

Abstract

Social networks are penetrating our daily life, connecting people across the globe. As a combination of social science and mobile communication networks, mobile social networks (MSNs) are attracting an increasing attention across the research community. In this paper, based on the common interests of a specific community, the epidemic content dissemination across a MSN is studied as a powerful supplement to the conventional centralized-infrastructure (CI) based communication for the sake of conserving precious radio resources, enhancing coverage and reducing power-dissipation. The Factor of Altruism (FA) concept is introduced for quantifying the willingness of the MSN subscribers to share their content. We model the epidemic content dissemination by a pure-birth based Markov chain and evaluate the statistical properties of the content dissemination delay and the delay of a specific MSN subscriber receiving the desired content. We also approximate the tail distribution function (TDF) of these two delays by the Gamma distribution. Simulation results are provided for supporting our analysis, which show the difference with respect to the conventional CI systems, demonstrating that the delay is substantially reduced upon increasing the number of MSN subscribers, especially when the MSN subscribers are altruistic

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Identifiers

ORCID for Lie-Liang Yang: orcid.org/0000-0002-2032-9327

ORCID for Lajos Hanzo: orcid.org/0000-0002-2636-5214

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