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以上海产业结构为研究对象,将产业结构抽象为由产业和产业间联系所组成的复杂网络,把产业看做是网络中的节点,将产业与产业之间的联系看做是网络中的边,计算网络的统计特征,包括平均最短距离、平均簇系数、中间度、中介度的计算,并对2002年和2005年的数据行了对比分析,发现上海产业结构分离度小,产业聚集程度高,化工和金融保险业在产业网络中发挥着关键作用。本文利用复杂网络理论分析产业结构,推动了对产业结构的数据挖掘和可视化管理。
Taking the industrial structure of Shanghai as the research object, the industrial structure is abstracted as a complex network composed of the links between industries and industries. The industry is regarded as a node in the network, and the connection between industry and industry is regarded as the edge in the network , The statistical characteristics of the network are calculated, including the calculation of the average shortest distance, the average cluster coefficient, the intermediate degree and the mediation degree. The comparative analysis of the data of 2002 and 2005 shows that the industrial structure in Shanghai is small in degree of separation and high in industrial concentration Chemical and financial insurance play a key role in industrial networks. In this paper, the complex network theory is used to analyze the industrial structure and promote the data mining and visual management of the industrial structure.