Researchoninformationdisseminationin
scale-freehypernetworkswithclustering
characteristics
Abstract
WiththecontinuousdevelopmentoftheInternetandsmartdevices,themodesof
informationdisseminationhaveundergonesignificantchanges.Traditionalnetwork
models,whichrelyoncomplexnetworkmodelsbasedonbinaryinteractions
primarily,cannolongerrepresentthecomplexmultidimensionalrelationships
accuratelyinrealnetworks.Hypernetworks,asahigher-orderrepresentationof
networks,cancapturethemultiplecharacteristicsandinterrelationshipsamongvarious
elementsinrealsystems.Therefore,thestudyofinformationpropagationon
hypernetworkmodelshasreceivedwidespreadattention.However,existingresearch
onhypernetworkmodelsoftenfocusonlyonscale-freeproperties,overlookingthe
groupeffectsbetweennetworkclustersandtheacceleratedgrowthcharacteristicsof
socialgroups(hyperedges).Inpropagationmodels,itisoftenassumedthatall
individualsholdthesameviews,neglectingtheinfluenceofindividualsholding
differentperspectives.Thus,thisthesisconsidersthescale-freeandclustering
propertiesobservedinrealnetworks,takesintoaccountthedifferentattitudesof
individualsinthenetwork,andexploresthecharacteristicsandpatternsofinformation
propagationinhypernetworks.Themaincontentsareasfollows:
(1)Studyofinformationdisseminationinascale-freehypernetworkwith
tunableclustering.Inreallife,itiseasierforfriendsoffriendstoformfriendships,
suggestingthatsocialnetworksshouldexhibitaclusteringphenomenonasa
hypernetwork.Toaddressthis,theevolutionmodelofhy