Rumor Diffusion in an Interests-Based Dynamic Social Network

The Scientific World Journal
Volume 2013 (2013), Article ID 824505, 10 pages
http://dx.doi.org/10.1155/2013/824505

Mingsheng Tang [1], Xinjun Mao [1], Zahia Guessoum [2], and Huiping Zhou [1]

[1] College of Computer, National University of Defense Technology, Changsha 410073, China
[2] LIP 6, Université Pierre et Marie Curie Paris, 75006 Paris, France

Received 12 July 2013; Accepted 3 November 2013

Academic Editors: H. M. Chamberlin and Y. Zhang

Copyright © 2013 Mingsheng Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

To research rumor diffusion in social friend network, based on interests, a dynamic friend network is proposed, which has the characteristics of clustering and community, and a diffusion model is also proposed. With this friend network and rumor diffusion model, based on the zombie-city model, some simulation experiments to analyze the characteristics of rumor diffusion in social friend networks have been conducted. The results show some interesting observations: (1) positive information may evolve to become a rumor through the diffusion process that people may modify the information by word of mouth; (2) with the same average degree, a random social network has a smaller clustering coefficient and is more beneficial for rumor diffusion than the dynamic friend network; (3) a rumor is spread more widely in a social network with a smaller global clustering coefficient than in a social network with a larger global clustering coefficient; and (4) a network with a smaller clustering coefficient has a larger efficiency.

http://www.hindawi.com/journals/tswj/2013/824505/

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3881697/