Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/69514
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dc.contributor.authorZhou, Lin-
dc.date.accessioned2017-02-01T03:23:18Z-
dc.date.available2017-02-01T03:23:18Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/10356/69514-
dc.description.abstractThe rumor spreading in social networks could be considered as “infection of the mind” among people. In human society, each person’s mind may be affected by people around him/her, especially by those with stronger influences. In this dissertation we attempt to analyze the effects of herd behaviors on opinion formation in human society when we tend to clean up the rumor spreading. The SIR model is adopted in simulating the spread and cleaning up of the rumor. To evaluate the effects of herd behaviors, we test on different cases with the classic SIR model and SIR model with herd behavior respectively. By comparing between different cases, we could figure out the factors that obstruct and promote the rumor cleaning process respectively, and the roles that are well-known and influential individuals may play in rumor cleaning process.en_US
dc.format.extent66 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleCleaning false information in social networks with herd behaviours : a simulation studyen_US
dc.typeThesis
dc.contributor.supervisorXiao Gaoxien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Communications Engineering)en_US
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