期刊导航

论文摘要

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

作者:吴少华(四川大学电子信息学院);马晓娟(四川大学电子信息学院);胡 勇(四川大学电子信息学院)

Author:WU Shao Hua(College of Electronics and Information Engineering, Sichuan University);MA Xiao Juan(College of Electronics and Information Engineering, Sichuan University);HU Yong(College of Electronics and Information Engineering, Sichuan University)

收稿日期:2014-10-16          年卷(期)页码:2015,52(5):1040-1044

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字: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

基金项目:浙江省自然科学基金(y1080023)

中文摘要

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.

英文摘要

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.

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