金融产业集群社会网络建模仿真与实证

Modeling and Empirical Research on Social Networks for Financial Industry Clusters

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。

Focused on distinct impacts different firms in financial industry clusters have on their social networks, this paper outlines a model of financial industry clusters＇ social networks considering point rights for individual selection, it did simulation with relevant data from Shanghai＇s financial industry clusters. Furthermore, it comparatively analyzes the small world property, nodes betweenness, and the robust performance of both simulated and real social networks. The result confirms that the proposed simulation model based on individual merit can be used to restore the topological structure characteristics of the real social network of financial industry clusters. Through empirical simulation, this paper has found that the social network of real financial industry clusters presents small-world characteristics, which is beneficial to improve the efficiency of resource transmission, and that nodes with high right are more likely to occupy positions with high betweenness. It also concludes that strengthening the risk prevention of nodes with high right or betweenness, and increasing the amount of redundant connection has a positive effect on enhancing the network robustness. These findings have some practical significance for the financial industry cluster development and risk management.