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针对金融产业集群中不同企业对社会网络结构的影响力差异,构建基于个体点权择优的金融产业集群社会网络模型,并采用上海金融产业集群的相关数据,进一步比较分析仿真网络与现实社会网络的小世界特性、中介度特点和鲁棒性能。结果表明,本文构建的基于个体择优的仿真模型能较好还原现实金融产业集群社会网络的拓扑结构特性。通过实证仿真发现:现实金融产业集群社会网络具有小世界特性,这有利于提高资源传输效率;高点权的节点更可能处于高中介度的优势位置;加强高点权、高中介度节点的风险防范措施,适量增加冗余连接,对提高网络鲁棒性有积极作用。这些结论对金融产业集群发展和风险管理具有一定的现实意义。
In view of the difference of influence of different enterprises in the financial industry cluster on the social network structure, this paper constructs the social network model of financial industry cluster based on the individual point weighting and preferential selection, and uses the related data of Shanghai financial industry cluster to further analyze the relationship between the simulation network and the real social network Small World Features, Median Features, and Robustness. The results show that the simulation model based on individual preference constructed in this paper can better restore the topological structure of social networks in real financial industry clusters. Through empirical simulation, it is found that: the actual financial industry cluster social network has the characteristics of small world, which is conducive to improving the efficiency of resource transmission; high-node is more likely to be in the dominant position of high-degree of intermediation; Preventive measures to increase the amount of redundant connections, have a positive effect on improving network robustness. These conclusions have certain practical significance for the development of financial industry cluster and risk management.