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Rumor Spreading Model Of Social Network

Posted on:2014-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:F R MengFull Text:PDF
GTID:2248330395984109Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
A model of rumor spreading online social network is introduced that based on the classic SIRpropagation model in this article. We provide a more detailed and realistic description of rumorspreading process. The model takes into account the correlation of the node and the propagationmechanism and constructed transmission dynamics of evolution equations, which combined withtransmission dynamics. Combined with the knowledge of complex network, the paper analysisnodes propagation behaviors.On this basis, viewpoint interval, viewpoints, view strength and other parameters areintroduced to the view propagation model to research the social networks rumor spreading processin public opinion point of view of the proliferation of the form and feature.Simulation results show that the speed of information dissemination in the model is consistentwith the theory of six degrees separation and the spread threshold is zero. While the trends ofdifferent nods in spreading are the same. The bigger degree of node does not necessarily have afaster speed of propagation while the Ks-value of the node is more obviously. The result is notdifferent in the views model. In a fixed view of the network, a strong split view can cause the lessopposite sound. When network in initialization, its perspective whose has a smaller degree is hardto attract the public’s view. In the initialize network, the source node’s view is very large role inguiding public opinion. The nod, which has moderate Ks value and degree, can cause a wide rangeof fluctuations in public opinion. Holding inherent perspective network, when the nod as the sourcewith a strong view has bigger Ks value, the opposite will sound less.
Keywords/Search Tags:Social networking, infectious disease dynamics, the mass media in the dynamics, differential equations, network topology
PDF Full Text Request
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