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基于改进PageRank算法的微博用户影响力评估
Impact evaluation of microbloggers based on improved PageRank algorithm
【摘要】 为筛选微博网络和消息传播中的意见领袖,综合分析微博用户属性、行为和微博消息的传播特性,把用户的影响力因素分为:用户潜在影响力和微博传播影响力,据此构建用户影响力评估指标.进而提出基于改进RankPage算法的微博用户影响力评估算法.通过采集新浪微博某一话题下的数据计算用户的影响力,验证了方法的有效性和合理性.
【Abstract】 To estimate microbloggers’impacts on information spread,the user behavior and message propagation characteristics were synthetically considered.Microbloggers’ impacts were taken as two parts,namely:microblogger’s attention and microblog’s influence.And an improved PageRank algorithm was put forward to evaluate microbloggers’ impacts.Experiment of the algorithm under one topic of sina microblogs proved that the algorithm is reasonable.
【关键词】 微博;
微博用户影响力;
消息传播;
个体行为;
PageRank算法;
【Key words】 Microblog; Microblogger’s impact; Message propagation; Agent behavior; PageRank algorithm;
【Key words】 Microblog; Microblogger’s impact; Message propagation; Agent behavior; PageRank algorithm;
【基金】 浙江省自然科学基金(y1080023)
- 【文献出处】 四川大学学报(自然科学版) ,Journal of Sichuan University(Natural Science Edition) , 编辑部邮箱 ,2015年05期
- 【分类号】TP393.092
- 【被引频次】15
- 【下载频次】465