融合Hits改进算法的意见领袖挖掘方法  

Opinion Leaders Mining Method Based on Improved Hits Algorithm

作　　者：王柳 朱义鑫 韩莉英[1] WANG Liu;ZHU Yi-xin;HAN Li-ying(School of Information Management,Xinjiang University of Finance and Economics,Urumqi 830012,China)

机构地区：[1]新疆财经大学信息管理学院,新疆乌鲁木齐830012

出　　处：《计算机与现代化》2023年第6期39-42,94,共5页Computer and Modernization

基　　金：新疆维吾尔自治区自然科学基金资助项目(2020D01A35);四川省区域创新合作项目(2020YFQ0018);国家重点研发专项(2018YFC0825504);国家自然科学基金资助项目(62166039);新疆维吾尔自治区高校科研计划项目(XJEDU2019Y036,XJEDU2021Y038)。

摘　　要：微博逐渐成为舆论传播的重要载体,网络舆情中的意见领袖在舆情传播过程中发挥着推动作用,挖掘微博中的意见领袖对于管理社交网络舆情十分必要。综合考虑微博用户在网络中的转发评论等行为,构建微博用户“转发-评论”双层网络,通过引入用户交互行为的影响力贡献因子以及权重因子挖掘用户的影响力,提出基于Hits改进算法构建微博用户影响力评估算法。实验结果表明,该模型的F-score综合指标得分优于PageRank算法、Hits算法,能够更加准确地识别微博社区话题中的意见领袖,有效计算微博用户的实际影响力,更加准确有效地识别出微博社区某一话题中的意见领袖,为社交网络治理及网络舆情管理等方面提供参考。Microblog has gradually become an important carrier of public opinion communication.The opinion leaders in online public opinion play a driving role in the process of public opinion communication.It is necessary to explore the opinion leaders in microblog for the management of social network public opinion.Considering microblog users'behaviors such as forwarding com⁃ments in the network,a two-layer network of microblog users'“forwarding comments”is constructed.By introducing the influ⁃ence contribution factor and weight factor of users'interaction behavior to mine users'influence,a microblog users'influence evaluation algorithm based on Hits improved algorithm is proposed.The experimental results show that the F-score comprehen⁃sive index score of this model is better than PageRank algorithm and Hits algorithm.It can more accurately identify opinion lead⁃ers in microblogging community topics,effectively calculate the actual influence of microblogging users,and more accurately and effectively identify opinion leaders in a certain topic of microblogging community,which can provide reference for research on opinion leaders mining in social networks.

关 键 词：意见领袖 评论网络 转发网络 HITS算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]