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ID:34602339
大小:1.06 MB
页数:52页
时间:2019-03-08
《基于mmsb模型的微博网络社区发现研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、if*⋢HEBEIUNIVERSITY:ᑖ:᪥ṹ:10075:20121015ắᦻMMSBḄẆᵭ:᧽ᢣ!ᦟ#:$%&ᦟᣴ():*ắ+,-:./0+1ᢈ3ᣴ4ᓫ:6ᓅᜧ9:;<:=〇_@ABᨴClassifiedIndex:CODE:10075U.D.C:N0.:20121015ADissertationfortheDegreeofMasterCommunityDetectionforMicro-blogNetworkBasedonMMSBModelCandidate:WuXiaoboSupervisor:Prof.X
2、uJianminAcademicDegreeAppliedfor:MasterofAcademicSpecialty:ComputerScienceandTechnologyUniversity:HebeiUniversityDateofOralExamination:June,20156ᓅᜧᦻDEឋGH:ᡠᕈḄᦻ,ᙠ!"ᢣ!$%&ḄẆ()*+,-ḄẆ.ᡂ0。2ᡃᡠ4,◀6ᦻ7ᱯ9:;᪗=>?@ḄᙢB,ᦻ7DᒹFᐸHIJK⊤ᡈNᑏḄẆ.ᡂ0,PDᒹFQR-SᓅᜧᡈᐸHᦟWX᪀ḄᡈZ[ᡠᵨ^Ḅᩞᧇ。aᡃbc)*ḄcdeẆ.ᡠfḄghijᙳI
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8、ᔜ9,nᵨSVIÆ:+Ḅ;ᦪ。<=ᵨ.>ᦪæ?,ᵨÊbᓄAìí>BC%&DE,ë0⊤WB-MMSBḄâãKäþFG¦aMMSB,nWB-MMSBḄᦈIJK¦aMMSB。ᐵLMâãKäçèᔠ¥XᙽÿâãSVIIAbstractAbstractCommunitydetectionmainlybasedonnodelinkdensenessincommunitiesandlinksparsenesscharacter!sticsbetweencommunities,andwiththehelpofthenetworkaveragepa
9、thlength,clusteringcoefficientanddegreedistributionofdepictingthenetworkstructureofattributestodifferentiatecommunity.Thesemethodscan'tfindoverlappingcommunityanditscomputationalcomplexitywillbecomelargerbecauseofthein
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