基于复杂社会网络的创新扩散模型.研究

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1、Abstractsignificance，pointsoutthatcomplexsocialnetworktheoryisimportantforunderstandingsocialeconomicsystem，emphasizesthatperspectiveofnetworkcouldtransformtraditionalresearchofinnovationdiffusion,consequentlydenmonstratesthemeaningoftopic．Thenthemaincontentsandstructurearesumma

2、rizedaswellastheacademicinnovationofthisdissertation．2．Thisdissertationsummarizestheresearchfindingsuptodate：Firstly,clarifiesthetopicscopeandtheoreticalbasisofinnovationdiffusion，concludesexistingdiffusionmodelsandstatesthatthesemodelsareinclinedtoprefertoindividuallevelthanpop

3、ulationlevel，whichprovesthemicrobasisofdiffusiondeservesmoreattentioninthisdissertation．Secondly,conludesthetheoricticalfindingofcomplexnetworktheorybystatisticalfeature，networkgenerationmodelsanddiffusionmodels，whichoffersresearchperspectiveandanalysistools．Thirdly,elaboratesth

4、epromotionofcomplexsocialnetworksonresearchofsocialeconomicsystemanddiffusion,whichextendsresearchfieldbycombinationofdifferentbranchofknowledge．Finally,pointsoutmainresearchproblemsbasedonseverallimitationsofexistingresearch．3．Providestheframeworkfornextchaptersbasedonperspecti

5、veofcomplexsocialnetworks，constructsthenaturalselectionprocessofinnovationbasedontopologyofindividualnetworksandrelativedominanceofinnovation：allinnovationoffitnessrdiffusesinnetworksandoccupiesthewholenetworkwithprobabilityf；whilethehigherthefitness，is，thebiggertheftxationproba

6、bilityfis．Theresultsshowthatthediffusionprocessofinnovationisinfluencedbytopologyofnetworkandbehavioralmodelofindividual．Heterogeneityandthelowerconnectivityofnetworkfavorselectionofinnovationwhilepositivedegreecorrelationandsmallworldeffectgoagainstit．Moreover,behavioralmodelof

7、firmshowsdistinctinfluence．Consciousbehavioralmodelfavorsinnovationofhigherfitnesswhileunconsciousbehavioralmodelevensuppressesselectionofinnovation．Theseconelusionsstatethatthestructuraldifferenceofnetworkwillremarkablyinfluencesthedynamicsonnetworks，whichdifferfromresultsoftra

8、ditionalresearchofinnovationdiffusion．4．Constru