摘要
以科学计量学和可视化分析技术为基础,从海量文献数据中挖掘群体智能的研究主题及其学术文献,科学地把握该领域的研究核心,能够对我国在群体智能领域的持续深入研究起到重要的指导作用。以中国科学引文数据库(CSCD)中2014-2018年的14464篇群体智能文献为数据样本,利用CiteSpace构建机构合作、学科分布、共被引文献和关键词共现的科学研究图谱,分析、归纳出了我国在群体智能领域的研究力量分布,明确了国内群体智能研究领域的研究热点与前沿发展趋势。
Based on scientometrics and visualization analysis technology, mining the research topics and academic literatures of swarm intelligence from massive data, and grasping the research core of this field play an important role on the continuous and in-depth research in the field of swarm intelligence in China. 14464 documents from 2014 to 2018 are retrieved from CSCD and selected as data source. This paper uses CiteSpace to construct scientific research graphs about institutional cooperation, discipline distribution, co-citation literatures and keyword co-occurrence. By cluster analysis, the research distribution of swarm intelligence in China is summarized, and the research hotspots and fronts of swarm intelligence in China are identified and elaborated.
引文
[1]国务院.新一代人工智能发展规划[J].中华人民共和国国务院公报,2017,22.
[2]李未,吴文峻.群体智能:新一代人工智能的重要方向[DB/OL].http://stdaily.com/index/kejixinwen/2017-08/03/content_564559.shtml,2017.8.
[3]李杰,陈超美.CiteSpace:科技文本挖掘及可视化[M].北京:首都经济贸易大学出版社,2017:2-8.
[4]Chen,C.Science Mapping:A Systematic Review of the Literature[J].Journal of Data and Information Science,2017.2(2):1-40.