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机会网络中基于社区的高效消息传输算法 Abstract: Opportunitynetworkisatypeofonlinesocialnetworkthatallowsindividualstoconnectandexchangeinformationbasedonasharedinterestorgoal.Oneofthechallengesofopportunitynetworkistoefficientlytransmitmessagesamongcommunitymembers.Inthispaper,weintroduceacommunity-basedmessagetransmissionalgorithmthatachieveshighefficiencyinopportunitynetwork. Introduction: Opportunitynetworkhasbecomeanincreasinglypopularformofonlinesocialnetworkingforindividualswhosharesimilarinterestsorgoals.However,thetransmissionofmessagesinsuchnetworkscanbechallengingduetothelargenumberofmembersandthecomplexityoftheirrelationships.Inordertoenableefficientmessagetransmission,weproposeacommunity-basedalgorithmthatgroupsmembersintocommunitiesandoptimizesmessageexchangewithineachcommunity. Community-basedmessagetransmissionalgorithm: Thealgorithmhastwomaincomponents:communitydetectionandmessageexchangeoptimization.Thecommunitydetectionmodulegroupsmembersintocommunitiesbasedontheirsimilarityintermsofinterests,activitylevels,andrelationships.Avarietyofcommunitydetectionmethodscanbeusedtoachievethisgoal,includingclusteringalgorithmsandcommunitydetectionalgorithms. Oncecommunitieshavebeenidentified,themessageexchangeoptimizationmoduleaimstooptimizetheexchangeofmessageswithineachcommunity.Thisisaccomplishedbyidentifyinginfluentialmemberswithinthecommunityandtargetingthemwithmessagestomaximizethelikelihoodthatthemessagewillbedisseminatedtoalargenumberofcommunitymembers.Toachievethis,thealgorithmtakesintoaccountthefollowingfactors: 1.Theactivitylevelofthemember:Higheractivitylevelsindicateagreaterlikelihoodthatthememberwillsharethemessagewithothers. 2.Thesocialinfluenceofthemember:Memberswithahighdegreeofsocialinfluencearemorelikelytospreadmessageswidely. 3.Thecurrentlevelofcommunicationwithinthecommunity:Ifcommunicationislow,morememberswillneedtobetargetedtoensurethatthemessageisdisseminatedwidely. Usingthesefactors,thealgorithmdeterminesthebesttargetsformessagedisseminationwithineachcomm