学术虚拟社区核心用户知识流动特征研究  

Research on the Knowledge Flow Characteristics of Core Users in Academic Virtual Community

作　　者：杨瑞仙 郭孟含 Yang Ruixian;Guo Menghan(School of Information Management,Zhengzhou University,Zhengzhou 450001,China;Zhengzhou Data Science Research Center,Zhengzhou 450001,China)

机构地区：[1]郑州大学信息管理学院,河南郑州450001 [2]郑州市数据科学研究中心,河南郑州450001

出　　处：《现代情报》2022年第8期50-60,共11页Journal of Modern Information

基　　金：河南省高等学校青年骨干教师培养计划项目“学术虚拟社区知识交流机制的系统动力学仿真研究”(项目编号:2020GGJS012);郑州大学人文社会科学优秀青年科研团队培育计划项目“用户参与的网络知识服务研究”(项目编号:2020-QNTD-09)。

摘　　要：[目的/意义]相较于传统的文献知识流动特征而言,学术虚拟社区核心用户间知识流动特征和定量分析的相关研究较少。对此,本文主要从知识网络和实证研究两个层面揭示学术虚拟社区核心用户间知识流动的特征,以期为促进学术虚拟社区知识流动提供参考。[方法/过程]本文以“丁香园论坛”为研究对象,在构建用户影响力指标体系的基础上,采用熵权法计算用户影响力,同时结合社会网络分析方法和PageRank算法计算用户的综合影响力以识别核心用户,然后利用Python和Gephi软件从多个维度揭示学术虚拟社区的知识流动特征。[结果/结论]本文采用复杂网络方法对学术虚拟社区核心用户间的知识流动特征进行分析,从核心用户、地域、学科以及主题等多个维度揭示了核心用户间的知识流动特征,对后续研究知识交流表现形式及交流机制奠定理论基础和提供相关参考。[Purpose/Significance]Compared with traditional literature knowledge flow characteristics,there are relatively few studies on the characteristics and quantitative analysis of knowledge flow among core users of academic virtual communities.In this regard,this article mainly reveals the characteristics of knowledge flow among core users of academic virtual communities from the two levels of modeling and empirical research,in order to provide references for promoting the knowledge flow of academic virtual communities.[Methods/Process]Based on the research object of“Dingxiangyuan Forum”,this article used entropy method to calculate user influence based on the construction of user influence index system,and combined social network analysis method and PageRank algorithm to calculate user's comprehensive influence to identify core users.And then Python and Gephi software were used to reveal the knowledge flow characteristics of the academic virtual community from multiple dimensions.[Results/Conclusions]This paper adopts the method of complex network to analyze the characteristics of knowledge flow among the core users of academic virtual communities,and reveals the characteristics of knowledge flow among the core users from multiple dimensions such as the core users,regions,disciplines and themes,which lays a theoretical foundation and relevant references for the subsequent research on the manifestation forms and communication mechanisms of knowledge exchange.The research on dynamic characteristics has certain theoretical and practical significance.

关 键 词：学术虚拟社区 知识流动特征 核心用户 社会网络分析 PAGERANK算法 复杂网络 知识网络 知识交流 丁香园论坛 

分 类 号：G201[文化科学—传播学]