摘要
为了较为系统地展示复杂网络相关研究最新进展情况,选取2000-2020年CSSCI期刊的1378篇关于复杂网络的文献为研究对象,利用CiteSpace软件对复杂网络研究领域的热点方向、知识演进及合作关系进行了系统的梳理与分析。分析结果显示:我国复杂网络研究经历了探索期、发展期和成熟期三个阶段,研究成果逐渐增多;在研究队伍方面,复杂网络研究的工作主要集中在高校团体,机构之间的合作网络呈大分散、小集中的分布,尚未形成系统良好的研究环境;作者合作初具规模但协作交流强度有待加强。关键词共现图谱和聚类图谱显示,复杂网络研究内容分为结构特性、演化模型、应用研究三类;当下的研究热点聚焦于链路预测、贸易网络、舆情预警、信息协同等关键词,热点主题与社会发展趋势同步,体现了复杂网络广阔的应用前景。
In order to systematically demonstrate the latest progress of research on complex networks,this paper selects 1378 papers related to complex networks from CSSCI journals from 2000 to 2020,and uses CiteSpace to analyze the hotspots,knowledge evolution and cooperative relationships of the research into complex networks.The results show that:(1) With gradually mounting results,research on complex networks in China has experienced the three stages of exploration,development and maturity;(2) In terms of research teams,research on complex networks was mainly carried out by university groups,and cooperative networks among institutions were widely scattered with small clusters,failing to form a good research environment;(3) The phenomenon of co-authorship has begun to take shape but the cooperation and communication among authors needs to be strengthened.The keyword co-occurrence and clustering maps show that research on complex networks can be classified into three categories:structural characteristics,evolutionary models,and applied research.The current research hotspots focus on keywords such as link prediction,trade networks,public opinion early warning,and information collaboration,etc.,and correspond with the trends of social development,which reflects the broad application prospects of complex networks.
作者
姜敏勤
石小晶
姚安阳
张正勇
JIANG Min-qin;SHI Xiao-jing;YAO An-yang;ZHANG Zheng-yong(Nanjing University of Finance and Economics,Nanjing,Jiangsu,210023,China)
出处
《武汉商学院学报》
2022年第2期74-79,共6页
Journal of Wuhan Business University
基金
江苏高校“青蓝工程”资助项目(项目编号:苏教师函[2021]11号)
江苏省研究生科研与实践创新计划(项目编号:KYCX21_1466)。
