复杂网络应用研究的文献计量与议题分析  

Bibliometrics and Topic Analysis of Complex Network Application Research

作　　者：陈亮[1,3] 谢洪明[2] 朱卓越 CHEN Liang;XIE Hongming;ZHU Zhuoyue(School of Management,Zhejiang University of Technology,Hangzhou 310023,China;School of Business Administration,Guangzhou University,Guangzhou 510006,China;School of Business Administration,Zhejiang Financial College,Hangzhou 310018,China)

机构地区：[1]浙江工业大学管理学院,杭州310023 [2]广州大学工商管理学院,广州510006 [3]浙江金融职业学院工商管理学院,杭州310018

出　　处：《科技与经济》2021年第2期6-10,共5页Science & Technology and Economy

基　　金：国家自然科学基金项目——“‘互联网+’平台型企业创新生态系统的治理、协同效应与生态优势研究”(项目编号:71772163;项目负责人:谢洪明)成果之一;国家自然科学基金项目——“平台生态系统的结构及协同演化机理研究”(项目编号:71673240;项目负责人:谢洪明)成果之一;浙江金融职业学院2019年度基本科研业务费重点项目——“高质量发展背景下政府补贴与制造企业创新绩效门槛效应研究”(项目编号:2019ZD23;项目负责人:陈亮)成果之一。

摘　　要：复杂网络为研究复杂性提供了新的视角,近年来被广泛应用于社会、经济、生物等领域。为了解复杂网络研究的现状及趋势,以Citespace对Web of Science中2000—2018年发表的相关文献为基础,从发文时间、国家以及关键词等角度绘制知识图谱进行分析。研究结果显示:由于复杂网络结构和传播机理的复杂性,研究仍处于探索阶段。虽然跨越了各个学科领域,但核心研究力量之间仍缺乏合作与交流;复杂网络的结构特征、模型演变和动力学是研究核心,但是现有研究遇到了瓶颈或研究热点逐渐分散;未来在拓扑结构、分析算法以及应用于提升人类生活质量将成为复杂网络研究的方向。Complex network provides a new perspective for the study of complexity,and have been widely used in social,economic,biological and other fields in recent years.To understand the current situation and trend of complex network research,based on the Citespace of the relevant literature published in the Web of Science from 2000 to 2018,the knowledge map is drawn from the perspective of the time of publication,the country,the co-citation of journals and the key words.The results show that:Because of the complexity of complex network structure and propagation mechanism,the research is still in the exploration stage.Although it is interdisciplinary,there is still a lack of cooperation and interaction between core researchers;the structural characteristics,model evolution and dynamics of complex networks are at the core of the study,but existing research has encountered bottlenecks or research hot-spots are gradually dispersed;topology,analytical algorithms and applications to improve the quality of human life will become the research direction of complex networks.

关 键 词：复杂网络 文献计量 内容分析法 

分 类 号：G353.1[文化科学—情报学] O157.5[理学—数学]