计算机应用研究2017，Vol.34Issue(12)：3547-3551,5.DOI:10.3969/j.issn.1001-3695.2017.12.006
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
摘要
Abstract
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.关键词
社交网络/意见领袖挖掘/符号网络Key words
social network/opinion leader mining/signed network分类
信息技术与安全科学引用本文复制引用
曹林林,郑明春..微博话题符号网络下的意见领袖挖掘算法研究[J].计算机应用研究,2017,34(12):3547-3551,5.基金项目
国家自然科学基金资助项目(61402266) （61402266）
国家社会科学基金资助项目(14BTQ049) （14BTQ049）
