我国学术社交网络研究的发展脉络与知识结构分析

Analysis of the Development Process and Knowledge Structure of Academic Social Network Research in China

综合采用时序分析、二模网络分析、科学知识图谱分析、内容分析等研究方法,从发文时序、跨学科发文、高被引论文、高被引作者四个角度对国内学术社交网络研究的发展脉络和研究态势进行梳理,从主题群聚类、跨学科主题分布两个角度对其知识结构进行可视化分析,将研究主题划分为五个类别:内涵研究、用户采用研究、科学评价研究、用户行为研究、信息交流与推荐研究,并应用内容分析方法对研究主题展开深入述评。

The article comprehensively uses the methods including timing analysis, two-mode network analysis, scientific knowledge map analysis, content analysis, to sort out the ideas of development vein and research trend of academic social networksresearch in China from four perspectives, namely, published time series, interdisciplinary papers, highly cited papers and highly cited authors. Meanwhile, the article makes a visual analysis of the knowledge structure from the perspectives of subject clusters and interdisciplinary theme distributions. Finaly, research themes are divided into five aspects： connotation research, user adoption research, scientific evaluation research, user behavior research and information exchange and recommendation research, the article uses content analysis method to review the themes.