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本文运用复杂网络分析方法,基于1932年的山东省城镇间土洋货流通的基础数据,建立了城镇间的关系矩阵,讨论了1932年时山东省城镇间土洋货流通网络的全网结构特征,并识别出网络中的城镇角色和关键链接。研究发现:第一,城镇度符合幂律分布,绝大多数城镇度值较低,少数几个城镇度值较高。网络连通性差,城镇节点度与聚集系数为负相关关系。结构为树枝状是当时铁路网和公路网发育状况的真实写照。第二,全网包括6大社团,社团规模、自立性和地域性差异明显。第三,全网结节城镇为济南、青岛、周村和济宁,全网中介城镇为济南和青岛。社团结节城镇、中介城镇相同,再次印证了山东省土洋货流通网络为多个星状社团组成的树状网络。第四,青岛-济南、青岛-烟台、济南-济宁、济南-周村、青岛-周村、青岛-潍县为全网中最为重要的边。
Based on the basic data of the circulation of the oceanic goods among the cities and towns in Shandong Province in 1932, this paper establishes the relation matrix between cities and towns by using the method of complex network analysis. The whole network structure characteristics of the circulation of foreign goods between cities and towns in Shandong Province in 1932 are discussed. Identify town roles and key links in the network. The study found that: First, the degree of urbanization accords with the power law distribution, the majority of urbanities have lower values, and the few urbanities have higher values. Network connectivity is poor, degree of urban node and aggregation coefficient is negatively correlated. The dendritic structure is a true portrayal of the development of the railway network and highway network at that time. Second, the entire network includes six major associations, community size, independence and regional differences significantly. Third, the entire network of nodular towns for Jinan, Qingdao, Zhoucun and Jining, the whole network of intermediary towns for Jinan and Qingdao. Community Nodules town, the same as the intermediary town, once again confirms the Shandong Province, oceanic goods distribution network for a number of star-shaped community tree network. Fourth, Qingdao - Jinan, Qingdao - Yantai, Jinan - Jining, Jinan - Zhoucun, Qingdao - Zhoucun, Qingdao - Wei County for the entire network the most important side.