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Method of analyzing the influence of network structure on information diffusion
Authors:Katsuya Nagata  Susumu Shirayama
Affiliation:School of Engineering, Department of Systems Innovation, The University of Tokyo, 7-3-1 A-209 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Abstract:Social phenomena are affected by the structure of networks consisting of personal relationships. In the present paper, the diffusion of information among people is examined. In particular, the relationship between the network structure and the dynamics is studied. First, several networks are generated using the proposed network model and other network models, such as the WS model and the KE model. By changing the parameters of the network models, networks with different structures are generated. The parameters of the network models determine the topology of the networks and the statistical indicators.
Keywords:Information diffusion   Complex network   Network structure   Data mining
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