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TTRank:基于倾向性转变的用户影响力排序
  • 摘要

    近年来,不少学者从回复关系的角度分析用户影响力,但存在回复关系稀少、帖子内容被忽视、不能动态更新等问题.为弥补这些不足,提出了一种基于倾向性转变的用户影响力分析方法.先计算帖子的影响力,再提出“局部回复链”的概念,引入间接回复关系计算方法,增加了帖子之间的回复关系;然后对局部回复链,分析用户倾向性变化的过程,得到用户影响他人和受影响的程度,最终获得用户在指定范围内的影响力排名.该算法与10种经典的影响力分析算法对比以及实例分析的结果,说明该算法能从其他角度更好地刻画用户形象.

  • 作者

    段松青  吴斌  王柏  Duan Songqing  Wu Bin  Wang Bai 

  • 作者单位

    北京邮电大学计算机学院 北京 100876

  • 刊期

    2014年10期 ISTIC EI PKU

  • 关键词

    社会化媒体  论坛  影响力分析  用户影响力  倾向性转变  social media  forum  influence analysis  user influence  tendency transformation 

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