《计算机应用研究》|Application Research of Computers

微博话题符号网络下的意见领袖挖掘算法研究

Algorithm of opinion leader mining based on signed network

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作者 曹林林,郑明春
机构 山东师范大学 管理科学与工程学院,济南 250014
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文章编号 1001-3695(2017)12-3547-05
DOI 10.3969/j.issn.1001-3695.2017.12.006
摘要 在现有的意见领袖的挖掘中主要是将网络结构和用户行为作为研究方向,没有考虑到是否真正对用户产生影响这一重要的属性。针对意见领袖的挖掘进行进一步的研究,使用符号网络作为研究工具,通过赋予用户之间的观点关系链接相应的代表支持或者反对的符号,将传统的意见领袖挖掘算法结合符号网络中能够描述用户观点变化的符号关系,将真正对用户产生影响的意见领袖挖掘出来,从而挖掘得出更加精准有效的意见领袖。
关键词 社交网络;意见领袖挖掘;符号网络
基金项目 国家自然科学基金资助项目(61402266)
国家社会科学基金资助项目(14BTQ049)
本文URL http://www.arocmag.com/article/01-2017-12-006.html
英文标题 Algorithm of opinion leader mining based on signed network
作者英文名 Cao Linlin, Zheng Mingchun
机构英文名 CollegeofManagementScience&Engineering,ShandongNormalUniversity,Jinan250014,China
英文摘要 With the rapid development of mobile Internet, user gradually become the leader of social media, the abrupt rise of new media has changed the traditional information’s dissemination pattern and regularity. In the existing mining of opinion leaders, it is mainly from the research of network structure and user behavior without considering an important attribute: whether the user has a real impact. Counter the mining of the opinion leaders, this paper took the symbolic network as the research tool. By giving symbol which correspondingly represented support or oppose to the link about point of view relationship between users and combining traditional algorithms of mining with symbolism which could describe the change of view between users, this paper got the opinion leader who had real impact on users. The result shows the proposed algorithm is more accurate and effective.
英文关键词 social network; opinion leader mining; signed network
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收稿日期 2016/9/9
修回日期 2016/10/28
页码 3547-3551
中图分类号 TP301.6
文献标志码 A