title: A spread willingness computing-based information dissemination model.
abstract: This paper constructs a kind of spread willingness computing based on information dissemination model for social network. The model takes into account the impact of node degree and dissemination mechanism, combined with the complex network theory and dynamics of infectious diseases, and further establishes the dynamical evolution equations. Equations characterize the evolutionary relationship between different types of nodes with time. The spread willingness computing contains three factors which have impact on user's spread behavior: strength of the relationship between the nodes, views identity, and frequency of contact. Simulation results show that different degrees of nodes show the same trend in the network, and even if the degree of node is very small, there is likelihood of a large area of information dissemination. The weaker the relationship between nodes, the higher probability of views selection and the higher the frequency of contact with information so that information spreads rapidly and leads to a wide range of dissemination. As the dissemination probability and immune probability change, the speed of information dissemination is also changing accordingly. The studies meet social networking features and can help to master the behavior of users and understand and analyze characteristics of information dissemination in social network.
authors.affiliation: Institute of Intelligent Information Processing and Application, Soochow University, Suzhou 215006, China ; Department of Computer Information Engineering, Guangdong Technical College of Water Resource and Electric Engineering, Guangzhou 510635, China.
authors.forename: Haojing
authors.identifier: 0000-0001-5900-6341
authors.initials: H
authors.lastname: Huang
authors.affiliation: Institute of Intelligent Information Processing and Application, Soochow University, Suzhou 215006, China.
authors.forename: Zhiming
authors.initials: Z
authors.lastname: Cui
authors.affiliation: Institute of Intelligent Information Processing and Application, Soochow University, Suzhou 215006, China ; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China.
authors.forename: Shukui
authors.initials: S
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D006801:Humans; D033181:Information Dissemination; D008962:Models, Theoretical; D060756:Social Networking
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