摘要
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.
出版日期
2012年04月14日（中国Betway体育网页登陆平台首次上网日期，不代表论文的发表时间）
