全球海上运输网络实证分析
Empirical analysis of the worldwide maritime transportation network
摘要：
在本文中，我们提出了一个实证研究的全球海上运输网络（WMN）中的节点是港口和链接的集装箱班轮连接港口。利用网络拓扑的不同表示方法，即空间$L$和$P$，研究了WMN的度分布、度相关性、权值分布、强度分布、平均最短路径长度、线长度分布和中心性度量等统计特性.我们发现WMN是一个具有幂律行为的小世界网络。基于不同的中心性度量来识别重要节点。通过分析网络的加权聚类系数和加权平均最近邻度，揭示了网络的层次结构和“富俱乐部”现象。
英文摘要：
In this paper we present an empirical study of the worldwide maritime transportation network (WMN) in which the nodes are ports and links are container liners connecting the ports. Using the different representation of network topology namely the space $L$ and $P$, we study the statistical properties of WMN including degree distribution, degree correlations, weight distribution, strength distribution, average shortest path length, line length distribution and centrality measures. We find that WMN is a small-world network with power law behavior. Important nodes are identified based on different centrality measures. Through analyzing weighted cluster coefficient and weighted average nearest neighbors degree, we reveal the hierarchy structure and "rich-club" phenomenon in the network.
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