摘要
基于轨道交通产业集群内各企业之间的关系往来,结合发展规模、集群的组织结构、科技实力等因素,运用复杂网络理论和改进的PageRank算法,定量分析轨道交通产业集群网络的拓扑指标,探讨其发展现状和方向。利用复杂网络模型分析轨道交通产业集群网络的特点,并通过熵权法改进PageRank算法,以此来计算轨道交通产业集群内部企业的PR值,根据计算出的PR值可知集群内的重点企业。以成都市轨道交通产业集群为例,分析出该集群具有复杂网络特征,通过计算复杂网络统计量可以得出网络的度分布符合小世界网络,即少数企业与其他企业之间业务往来频繁,而多数企业之间只有少数业务往来。网络的平均路径长度为4.3622,网络聚集系数为0.0113,集群的聚集程度较低。
In this paper,we discuss the relationship between the rail transit industry cluster in various enterprise exchanges and the development of scale;a cluster of factors such as organizational structure,scientific and technological strength,and complex network theory;and an improved PageRank(PR)algorithm,all of which form the basis of current developments in rail transit industry cluster and its development direction.Acomplex network model of the cluster network characteristics was used to improve the PR algorithm,using the entropy weight method,and to calculate the PR values of the main enterprises in the cluster.In this study,which considers the Chengdu rail transit industry cluster as a case study,it was found that the cluster exhibited complex network characteristics.By determining the complex network characteristics,it can be concluded that the degree distribution of the network conforms to the small-world network.In general,a few enterprises have frequent business contacts with other enterprises,where as most enterprises have only a few business contacts.The average path length of the network was 4.3622,clustering coefficient of the network was 0.0113,and clustering degree of the cluster was low.
作者
黄倩
薛锋
HUANG Qian;XUE Feng(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Chengdu 611756,China)
出处
《交通运输工程与信息学报》
2020年第2期30-38,共9页
Journal of Transportation Engineering and Information
基金
教育部人文社会科学研究项目(20YJCZH113)
成都市科技项目(2017-RK00-00388-ZF)
西南交通大学“双一流”建设项目(交通软科学类)(JDSYLYB2018030)。
