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Rumor Diffusion in an Interests-Based Dynamic Social Network
Mingsheng Tang, Xinjun Mao, Zahia Guessoum, Huiping Zhou

Rumor Diffusion in an Interests-Based Dynamic Social Network

Science & Mathematics Published 2013 Verification Pending

Overview & Synopsis

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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Document Information

Document Title Rumor Diffusion in an Interests-Based Dynamic Social Network
Author / Organization Mingsheng Tang, Xinjun Mao, Zahia Guessoum, Huiping Zhou
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2013
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-248643
Original Source Link Visit Source Page on hal.science »