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arXiv 0712.2779physics.soc-ph
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演化创新网络的建模

Modeling Evolving Innovation Networks

Michael D. Koenig, Stefano Battiston, Frank Schweitzer

摘要:

我们开发了一个新的框架,随着时间的推移,创新网络的建模。网络中的节点代表企业,而有向链接代表企业之间的单向互动。节点和链路都根据自己的动态和不同的时间尺度演变。该模型假设企业通过与其他企业的知识交换来生产知识,这涉及到参与企业的成本和收益。为了增加知识生产,企业采取不同的战略建立和/或删除与其他企业的联系。根据企业决策所考虑的信息,我们发现不同的网络结构的出现。我们分析了这些结构存在的条件内的数学方法和支持我们的研究结果,通过广泛的计算机模拟,显示网络的演变和它们的平衡态。在对结果的讨论中,特别注意了知识交流中直接和间接互惠的出现,这是指网络结构中出现的循环。为了激励我们的建模框架,在本章的第一部分,我们给出了一个广泛的概述现有的文献从经济学和物理学。这表明,我们的框架桥梁和扩展两个不同的研究路线,即研究具有简单拓扑结构的平衡网络和超循环模型的动态方法。

英文摘要:

We develop a new framework for modeling innovation networks which evolve over time. The nodes in the network represent firms, whereas the directed links represent unilateral interactions between the firms. Both nodes and links evolve according to their own dynamics and on different time scales. The model assumes that firms produce knowledge based on the knowledge exchange with other firms, which involves both costs and benefits for the participating firms. In order to increase their knowledge production, firms follow different strategies to create and/or to delete links with other firms. Dependent on the information firms take into account for their decision, we find the emergence of different network structures. We analyze the conditions for the existence of these structures within a mathematical approach and underpin our findings by extensive computer simulations which show the evolution of the networks and their equilibrium state. In the discussion of the results, particular attention is given to the emergence of direct and indirect reciprocity in knowledge exchange, which refers to the emergence of cycles in the network structure. In order to motivate our modeling framework, in the first part of the chapter we give a broad overview of existing literature from economics and physics. This shows that our framework bridges and extends two different lines of research, namely the study of equilibrium networks with simple topologies and the dynamic approach of hypercycle models.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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