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Research On Local Target Immunization Strategy Of Rumors At The Community Level

Posted on:2018-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:Y P MaFull Text:PDF
GTID:2348330533965872Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
With the development of network technology, rumors spread has brought many adverse effects to the social order and economic development as a typical social phenomenon. It is of great significance to in-depth study rumors spread mechanisms and immune strategies for the maintenance of social and economic development. Social networks generally have the characteristics of community structure, so it is more and more important to propose rumors immune strategy for community network. According to the research of different network structure, propagation model and immune strategy, this paper obtains the rumor target immune strategy based on local information. This article mainly completes the following work:(1) Through studying the network statistical characteristics, network model and propagation model on complex networks, we can deeply understand the propagation dynamics on complex networks and establish the foundation for the study of rumors immune strategy.(2) The advantages and disadvantages of several immune strategies are analyzed and compared. Based on community structure characteristics of the network, rumors immunization strategies are studied.(3) Combined with the advantages and disadvantages of several immune strategies, the target immune effect is significant but need to know the global network information, CBF method is based on local information of community network but easy to introduce heterogeneous nodes and need to Immune too many nodes. In this paper, the rumors immunization method overcomes the problems of these two methods of immunization,establishing an immune strategy based on the edge nodes of the community in the case of known limited network information.The immune effect of this method is compared with target immunization and CBF immunization strategy. It is found that the method plays a better immune effects with fewer immune nodes based on local information of community network.
Keywords/Search Tags:complex network, rumors immunization, community structure, edge node
PDF Full Text Request
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