摘要
为获取国内港口物流领域研究热点,对中国期刊CNKI全文数据库中收录的2913篇样本文献的关键词信息进行实证分析.利用复杂网络理论,构建一个包含50个节点、982条边(关键词共现)的无向加权网络.使用社会网络分析工具Pajek进行度、路径、聚类系数等统计指标的计算,验证该网络所具有小世界、无标度特性.基于网络的点度中心性和介数中心性,离析出研究热点,研究热点相互联系紧密,但关注度差异性大.
In order to obtain the research hotspot of port logistics field in China, the empirical analysis of the Chinese journal full text database of CNKI in 2913 samples of keywords in the literature information. This paper uses the theory of complex network to construct a contains 50 nodes, 982 edges （keyword co-occurrence） undirected weighted network. Calculation analysis tool Pajek statistical index, path, clustering coefficient using social network, the network has small world, scale-free property. The network degree are centrality and betweenness centrality based on separate, research focus, research focus are closely linked, but the attention degree of difference.
出处
《计算机系统应用》
2014年第7期246-251,共6页
Computer Systems & Applications
基金
浙江省临港现代服务业与创意文化重点研究基地课题(12JDLG01Z)
关键词
复杂网络
港口物流
研究热点
complex network
port logistics
research focus
