Rumor Diffusion in an Interests-Based Dynamic Social Network

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.
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The Scientific World Journal, Hindawi Publishing Corporation, 2013, 2013, pp.824505. 〈10.1155/2013/824505〉
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https://hal.sorbonne-universite.fr/hal-01619302
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Mingsheng Tang, Xinjun Mao, Zahia Guessoum, Huiping Zhou. Rumor Diffusion in an Interests-Based Dynamic Social Network. The Scientific World Journal, Hindawi Publishing Corporation, 2013, 2013, pp.824505. 〈10.1155/2013/824505〉. 〈hal-01619302〉

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