比特币交易P2P网站中意见领袖的识别与分析  

Opinion Leader Identification and Analysis in a Bitcoin Trading P2P Website

作　　者：李锋[1] 王妍沣 胡锦亚 LI Feng;WANG Yan-feng;HU Jin-ya(School of Business Administration,South China University of Technology,Guangzhou 510640,Guangdong,China)

机构地区：[1]华南理工大学工商管理学院

出　　处：《华南理工大学学报（社会科学版）》2019年第6期64-73,共10页Journal of South China University of Technology(Social Science Edition)

基　　金：国家自然科学基金项目(71572070)

摘　　要：P2P交易网站中,用户被其他用户的评价有正面评价也有负面评价。这使得网络中意见领袖的观点更加重要,而意见领袖的识别也变得更加复杂。本研究从一个比特币交易网站上获取用户之间的评价数据集合,构建了用户评价的有向加权符号网络。同时,根据用户评价他人的记录和被其他用户评价的记录,对用户进行类别划分。进而,从复杂网络分析的视角,对用户的评价数量和评价值分类统计;并且,计算了用户各个属性之间的相关性。计算和分析结果表明,描述用户行为的多个属性之间存在着较强的正向相关性;而用户的网络入度指标或出度指标,都可以作为网络意见领袖的评价指标。Online users of P2P trading website usually were rated by others as being positive or negative.These made attitudes of opinion leaders more important,and identification of opinion leaders more complicated.This paper fetched rating records among users from a Bitcoin trading P2P website.Based on these data,a directed weighted signed network was constructed.Users were classified into several classes according to ratings they had sent and received.Moreover,statistics description of these users was given,along with data through social network analysis.Then,the correlation coefficients between features of users were calculated.Based on data analysis,strong positive correlation coefficients between several features of users were uncovered.More important,in-degree and out-degree of nodes(users in the network)were verified to recognize opinion leaders.

关 键 词：意见领袖 比特币交易网站 用户评价 社会网络分析 加权符号网络 

分 类 号：F820.3[经济管理—财政学]