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首页> 外文期刊>The Open Cybernetics & Systemics Journal >Modelling and Simulation on Evolution Effect of Knowledge Sharing onIndustry Cluster Based on Social Network
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Modelling and Simulation on Evolution Effect of Knowledge Sharing onIndustry Cluster Based on Social Network

机译：基于社交网络的知识共享对产业集群演化影响的建模与仿真

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摘要

In order to explain the argument about effect of knowledge sharing on industry cluster, the knowledge accumulationprocess was modeled based on innovation ability and exchange frequency of knowledge. And then, three curveswere simulated, which represent the average knowledge stock of cluster, average deviation of knowledge stock betweenenterprises, and knowledge accumulation process of each enterprise respectively. The simulation results show that firstly,the innovation ability is the inner driving force to increase knowledge stock of enterprise. The knowledge stock of clusterwill increase and the cluster will become much more divergence with the increasing of innovation ability. Secondly, theknowledge exchange frequency is the external driving force to increase the knowledge growth of enterprise. The knowledgestock of cluster will increase and the cluster will also become much more divergence with the increasing of exchangefrequency. Thirdly, knowledge sharing will lead the cluster into absolute divergence with relative convergence. Thesevariables will affect the degree of convergence and divergence, but don’t change the final evolution trend. These resultsare helpful to explain the argument about effects of knowledge sharing and explore the black box of innovation process incluster.
机译：为了解释关于知识共享对产业集群的影响的观点，基于知识的创新能力和知识交流的频率对知识积累过程进行了建模。然后，模拟了三个曲线，分别代表集群的平均知识存量，企业之间的知识存量的平均偏差以及每个企业的知识积累过程。仿真结果表明，首先，创新能力是增加企业知识储备的内在动力。随着创新能力的提高，集群的知识存量将增加，集群的差异将更大。其次，知识交流的频率是促进企业知识增长的外部动力。随着交换频率的增加，集群的知识量将增加，集群的分歧也将越来越大。第三，知识共享将导致集群在相对收敛的情况下进入绝对分歧。这些变量会影响趋同和趋异的程度，但不会改变最终的演化趋势。这些结果有助于解释有关知识共享效应的观点，并有助于探索创新过程包容性的黑匣子。

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