SNA方法在华东地区冷链物流集群中的演化分析

Cold-chain Logistics Cluster Evolutionary Analysis by SNA in Eastern Region of China

为了探究华东地区冷链物流集群网络特性和发展路径,采集主要来自互联网的新闻报道数据,进行信息分析,构建了1981-2017年期间的华东地区冷链物流集群网络,利用社会网络分析方法(SNA)对密度、网络云集系数、中介度、接近度等网络特性指标以及小世界特性进行了历时研究和解释。研究主要发现,华东地区的冷链物流集群网络是一个稀疏网络;2007和2008年是该集群网络发生转折的重要时期,少量有影响力的中心节点企业开始涌现。该方法有助于冷链产业和企业的发展,加强竞争优势。

The aim of this paper is to understand the net character and development path of cold-chain logistics cluster network in eastern China. We collect and analyze data from Internet news,then construct cold-chain logistics cluster network for the period from 1981 to 2017. Moreover,we apply SNA method to study and interpret some net character index such as density,network clustering coefficient,closeness,betweenness,and small world. Thus,we find that cold-chain logistics cluster network in eastern China is a sparse network; the cluster network has an important turning period in 2007 and 2008; a few of core companies are emerging. The proposed method can help cold-chain logistic company and industry improve and reinforce competitive advantages.