Affinity based information diffusion model in social networks

Hongli Liu, Yun Xie, Haibo Hu () and Zhigao Chen
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Hongli Liu: School of Business, East China University of Science and Technology, Shanghai 200237, P. R. China
Yun Xie: School of Business, East China University of Science and Technology, Shanghai 200237, P. R. China
Haibo Hu: School of Business, East China University of Science and Technology, Shanghai 200237, P. R. China
Zhigao Chen: School of Business, East China University of Science and Technology, Shanghai 200237, P. R. China

International Journal of Modern Physics C (IJMPC), 2014, vol. 25, issue 05, 1-12

Abstract: There is a widespread intuitive sense that people prefer participating in spreading the information in which they are interested. The affinity of people with information disseminated can affect the information propagation in social networks. In this paper, we propose an information diffusion model incorporating the mechanism of affinity of people with information which considers the fitness of affinity values of people with affinity threshold of the information. We find that the final size of information diffusion is affected by affinity threshold of the information, average degree of the network and the probability of people's losing their interest in the information. We also explore the effects of other factors on information spreading by numerical simulations and find that the probabilities of people's questioning and confirming the information can affect the propagation speed, but not the final scope.

Keywords: Affinity; information diffusion; social network; 89.65.-s; 89.75.Hc; 05.40.-a (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S012918311440004X

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