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一种改进的微博用户影响力评价算法 被引量:9

Improved User Influence Evaluation Algorithm of Microblog
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摘要 微博用户的影响力研究是微博社区研究的一个热点。以新浪微博为研究对象,构建了用户活跃度和历史关注度两个评价指标,引入微博传播能力这一因子,提出了一种基于传统的PageRank算法的改进算法(user influence rank)模型,通过实验与传统算法进行对比,验证了该算法的有效性和准确性。 The Influence of microblog users is a hotspot in community research. Based on Sina mi- croblog platform, through two indicators of activity of users and historical attention, a user influence assessment system is constructed, the factor of the spread ability of the microblogs is introduced, the idea of traditional PageRank algorithm is used to improve a new influence ranking algorithm (User Influence Rank). Compared through experiments with traditional algorithm, the proposed algorithm is effective.
作者 王琛 陈庶樵
出处 《信息工程大学学报》 2013年第3期380-384,共5页 Journal of Information Engineering University
关键词 微博 用户影响力 PAGERANK算法 USER INFLUENCE rank算法 microbolg user influence PageRank algorithm user influence rank algorithm
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参考文献8

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同被引文献49

  • 1Shi J,Malik J.Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence . 2000
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