Altmetrics热点论文的利益相关者信息交互模式研究  

Research on Stakeholders'Information Interaction Modes of Altmetrics Hot Papers

作　　者：刘晓娟 王晨琳 吴鑫梅 Liu Xiaojuan;Wang Chenlin;Wu Xinmei(School of Government, Beijing Normal University,Beijing 100875)

机构地区：[1]北京师范大学政府管理学院,北京100875

出　　处：《情报杂志》2022年第4期186-192,共7页Journal of Intelligence

基　　金：国家社会科学基金项目“社交媒体视域下科研评价的理论与方法研究”(编号:17BTQ070)研究成果之一。

摘　　要：[研究目的]Altmetrics利益相关者的交互模式背后隐含着学术成果在社交网络上的传播路径,对深入把握论文影响力及指标学术价值有着重要意义。[研究方法]结合社交媒体用户身份与行为特点,形成Altmetrics利益相关者信息交互网络,使用Gephi对2019年最受关注TOP100论文的Twitter数据进行分析。[研究结论]结果表明,作者和出版方为核心用户,政府机构和新闻媒体为桥梁用户,学术同行和研究机构分别为重要的信息传受方,共有25种基本的信息流路径,直接利益相关者之间的互动强度较高。不同凝聚子群的同一类型利益相关者的交互对象偏好和强度存在差异,不同学科社区中的用户交互模式受到学科分布和核心用户类型的影响。[Research purpose]Altmetrics stakeholders'interaction mode implies the transmission path of academic achievements on social networks,which is of great significance to deeply grasp the influence of papers and the academic value of indicators.[Research method]Combined with the identity and behavior characteristics of social media users,the Altmetrics stakeholders'information interaction network is formed.Gephi is used to analyze on twitter data of 100 most popular papers in 2019.[Research conclusion]The results show that authors and publishers are the core users,while government agencies and news media are the bridge users.Besides,academic peers and research institutions are important information transmitting and receiving parties respectively.There are 25 basic information flow paths,and the interaction between direct stakeholders is high.Different agglomerative subgroups have different preferences and intensities for the same type of stakeholders.The user interaction patterns in different subject communities are affected by subject distribution and core user types.

关 键 词：替代计量 热点论文 利益相关者 交互模式 社会网络分析 

分 类 号：G353.1[文化科学—情报学]