摘要
[目的/意义]大多数社交网络节点的影响力计算没有考虑用户的评价,而用户评价对特定领域的专业影响力节点的识别具有重要意义。[方法/过程]本文利用领域字典和话题识别模型将目标用户的主题范围进行限定,同时结合社交网络用户中的个人信息综合指标,基于用户关注关系建立链路网络,并充分纳入用户评论的情感评分,提出针对专业影响力节点挖掘的Domain Rank算法。[结果/结论]研究表明,该算法能够有效的从多主题的用户群体中发现和识别潜在的专业影响力节点。
[Purpose/Significance] Most of the social network node＇s influence calculation does not consider the user＇s evaluation,and the user＇s evaluation has important significance to the identification of the professional influence nodes in a specific field. [Method/Process] In this paper,a domain dictionary and a topic recognition model were used to limit the subject range of the target users. At the same time,the link network was established based on the user concerns,and the sentiment score of the user reviews was fully incorporated into the Domain Rank calculation for the mining of professional influence nodes. [Result/Conclusion] Our study showed that the algorithm could effectively find and identify potential domain influence nodes from multi-topic user groups.
作者
王仁武
周威
张文慧
Wang Renwu;Zhou Wei;Zhang Wenhui(Department of hfl＇ormaties,East China Normal University,Shanghai 200241,China)
出处
《现代情报》
CSSCI
2018年第7期54-61,共8页
Journal of Modern Information
基金
国家社会科学基金项目"基于数据驱动的图书馆资源发现系统平台研究"(项目编号:16BTQ026)
关键词
用户
专业影响力节点
情感评分
社会网络分析
话题识别
链接分析
user
domain intluence nodes
sentiment score
social network analysis
topics recognition
link analysis
