Rumor Diffusion in an Interests-Based Dynamic Social Network
Joint Authors
Tang, Mingsheng
Guessoum, Zahia
Mao, Xinjun
Zhou, Huiping
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Tang, Mingsheng& Mao, Xinjun& Guessoum, Zahia& Zhou, Huiping. 2013. Rumor Diffusion in an Interests-Based Dynamic Social Network. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033339
Modern Language Association (MLA)
Tang, Mingsheng…[et al.]. Rumor Diffusion in an Interests-Based Dynamic Social Network. The Scientific World Journal No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1033339
American Medical Association (AMA)
Tang, Mingsheng& Mao, Xinjun& Guessoum, Zahia& Zhou, Huiping. Rumor Diffusion in an Interests-Based Dynamic Social Network. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033339
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033339