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基于改进PageRank算法的微博用户影响力评估 被引量:6

Impact evaluation of microbloggers based on improved PageRank algorithm
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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. To estimate microbloggers' impacts on information spread, the user behavior and messagepropagation characteristics were synthetically considered. Microbloggers" impacts were taken as twoparts, namely., microblogger's attention and microblogs influence. And an improved PageRank algorithmwas put forward to evaluate microbloggers" impacts. Experiment of the algorithm under one topic of sinamicroblogs proved that the algorithm is reasonable.
出处 《四川大学学报(自然科学版)》 CAS CSCD 北大核心 2015年第5期1040-1044,共5页 Journal of Sichuan University(Natural Science Edition)
基金 浙江省自然科学基金(y1080023)
关键词 微博 微博用户影响力 消息传播 个体行为 PAGERANK算法 Microblog Microblogger's impact Message propagation Agent behavior PageRank algorithm
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参考文献8

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