简介:Basedonuser’sin-degreedistribution,traditionalrankingalgorithmsofuser’sweightusuallyneglecttheconsiderationsofthedifferencesamonguser’sfollowersandthefeaturesofuser’stweets.Inordertoanalyzethefactorswhichimpactonuser’sweight,undertheanalysisofthedatacollectedfromSINAMicroblognetwork,thispaperdiscoversthatuserinfluenceandactivedegreesarethedominantfactorsforthisissue.Theproposedalgorithmevaluatesuserinfluencebyuser’sfollowernumber,theinfluenceofuser’sfollowersandthereciprocitybetweenusers.User’sactivedegreeismodeledbyuser’sparticipationandthequalityofuser’stweets.Themodelsaretestedbydifferentdatagroupstoconfirmtheparametersforthefinalcalculation.Eventually,thispapercomparesthecomputationalresultswiththeuser’srankingordergivenbytheSINAofficialapplication.Theperformanceofthisalgorithmpresentsastrongerstabilityonthefluctuantrangeofthevalueofuser’sweight.