改进LeaderRank算法的意见领袖挖掘

被引：15

作者：

徐郡明

朱福喜

刘世超

朱碧颖

机构：

[1] 武汉大学计算机学院

来源：

计算机工程与应用 | 2015年 / 51卷 / 01期

关键词：

社会网络; 意见领袖挖掘; Leader Rank算法; 情感倾向; 用户活跃程度;

D O I：

暂无

中图分类号：

O157.5 [图论]; TP393.09 [];

学科分类号：

070104 ; 080402 ;

摘要：

意见领袖挖掘是社会网络研究的重要课题,对于舆情控制、信息传播等方面具有重要意义。Leader Rank算法是一个有效的意见领袖挖掘算法。为提高Leader Rank算法的准确性和抗干扰能力,在Leader Rank算法基础上,加入用户之间的情感倾向、用户活跃程度,提出了改进的Leader Rank算法。基于SIR模型的实验验证表明,改进算法的准确性和抗干扰能力均得到了有效提升。

引用

页码：110 / 114+166 +166

页数：6

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