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集群风险与结构演化的复杂网络仿真研究
引用本文:蔡宁,黄纯. 集群风险与结构演化的复杂网络仿真研究[J]. 重庆大学学报(社会科学版), 2012, 18(1): 5-11
作者姓名:蔡宁  黄纯
作者单位:浙江大学公共管理学院,浙江杭州,310027
基金项目:国家自然科学基金项目“基于焦点企业的集群风险传导与扩散及其控制研究”(70973103),国家自然科学基金项目“多重多层网络与产业集群创新及其协同演化研究”(70973109);教育部新世纪优秀人才计划项目
摘    要:集群风险被视为影响区域经济发展的重要因素,然而构成关系的复杂性和研究过程的动态性导致现有研究难以从定量的角度分析集群网络结构的演化和风险。文章基于复杂网络的分析视角,揭示了集群网络结构与复杂网络模型之间的耦合关系,并运用仿真模拟方法构建了集群结构模型,刻画了两种风险类型下集群结构演化过程。主要结论有:内生性风险和外生性风险影响了集群内企业微观个体及网络关系的变动,使得集群风险鲁棒性具有显著差异;外生性风险下,三类集群风险鲁棒性强弱分布为中卫型>混合网络型>市场型;内生性风险下,三类集群风险鲁棒性强弱分布为市场型>混合网络型>中卫型。

关 键 词:集群风险  网络结构  结构演化  复杂网络  仿真模型

Risk and Structure Evolving of Industry Cluster: A Computer Simulation from Complex Network Perspective
CAI Ning and HUANG Chun. Risk and Structure Evolving of Industry Cluster: A Computer Simulation from Complex Network Perspective[J]. Journal of Chongqing University(Social Sciences Edition), 2012, 18(1): 5-11
Authors:CAI Ning and HUANG Chun
Affiliation:(School of Public Administration,Zhejiang University,Hangzhou 310027,P.R.China)
Abstract:Clusters risk is the key factor in regional economic development.However,it’s hard to study the evolution and risk of cluster network structure directly due to the dynamic of complexity of structure and research process.In this paper,we find the clusters network structure coupled with the complex networks model and build clusters structure model by the simulation method.Also,we portrait different kinds of clusters structure evolution processes based on two risk types by the three indices.The preliminary results indicate that: 1) Evolution processes and results differ significantly confronting different exogenous risks and endogenous risks,which lead to different risk robust.2)Subject to exogenous risks,the distribution of risk robust is: Center-satellite Cluster> Integrate-based Cluster> Market-based Cluster;3) Subject to endogenous risk,the distribution of risk robust is: Market-based Cluster > Integrate-based Cluster> Center-satellite Cluster.
Keywords:clusters risk  network structure  structural evolution  complex networks  simulation model
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