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Dynamic human behaviour based epidemic content dissemination in mobile social networks

Hu, Jie, Yang, Lie-Liang and Hanzo, Lajos (2013) Dynamic human behaviour based epidemic content dissemination in mobile social networks s.n.

Record type: Monograph (Project Report)

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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More information

Submitted date: 1 February 2013
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 351931
URI: http://eprints.soton.ac.uk/id/eprint/351931
PURE UUID: 64841df4-fac6-44b1-9ced-29ccdda49ad7
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327

Catalogue record

Date deposited: 29 Apr 2013 10:32
Last modified: 18 Jul 2017 04:21

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Contributors

Author: Jie Hu
Author: Lie-Liang Yang ORCID iD
Author: Lajos Hanzo

University divisions

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