微博影响力传播模型的改进与验证

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3、lnuencespreadinmicroblogismailllyreflectedbythedisseminationofinfomation，sotlleanalySisoffactorsa行．ectingtlleinformationdi行hsionisof蓼eatsignificancetoimproVemeinfluencepropagationmodel．Intheinfluencepr9pagationmodel，factorsa行lectingdisseminationofinfo肋ationar

4、ethe如ctorsa髓ctingnodeactiVationprobability．n如u曲in—d印m咖dy砌王analysisofexistingmodelsofmefIactorsaa’ectiIlgmedisseI】[1inationofinfomlationinsocialne觚orks，weproposetllreef．actorsmataffectingnodeaCtivationprobabilityinIIli∞oblo舀thatis，metweetf．eatllre，t11erelation

5、shipfbature柚dt11euserfean】re．Weprovidethecorrespondingcalculationmemod，w11ichiscalledTRU(Tweets．Relationshipsa11dUsers)nodeactiVationprobabilitycalculationmem(Ids．Thetweetfeaturemailllymeasurest11etweets’degreeofi11nuencein廿1espread．Thetweetisdividedintofourk

6、illdsoffonlls，matis，meplainteXttweets，thI；tweetsomvcontainingURL，metweetsonlycontaillingmultimediaa11dthetweI孔scontaillingbomURLandmultimedia．Therelationshipfean鹏dependsoninteraCtionsaIldsilllil耐tiesbe研eent11e细ousers，say，behavioralinertiabetweenth锄肌dsimilarit

7、yoftlleirinterests．Theuserf-eatl】remainlycomputeme910balinflueIlceofeachuserinmicroblog．CombiIlingwiththeTRUnodeactivationprobabilitvc酊cul撕onmethodaIldtheinlprovednodeactivationtllresholdcalcul．牡ionmethod．mepaperproposesⅡleICTRU(IIld印eIldentCascademodelwithTR

8、Umeasurement、influencepropagationmodelbasedontllemd印endentCascademodel．Inthep印er，wec01lectedmorethaIl4．5millionusersandits(：orrespondingtweetinfonnationtoV硎黟mevalidityofICTRUmodel她。蚓-1app