2016

An Extended N-Player Network Game and Simulation of Four Investment Strategies on a Complex Innovation Network

Särtryck nr 2016:7

Författare: Wen Zhou, Nikita Koptyug, Shutao Ye, Yifan Jia och Xiaolong Lu År: 2016 Publikation: PLoS ONE Årgång (nr): 11 (1) Sidor: 1–18
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An Extended N-Player Network Game and Simulation of Four Investment Strategies on a Complex Innovation Network Wen Zhou, Nikita Koptyug, Shutao Ye, Yifan Jia och Xiaolong Lu


As computer science and complex network theory develop, non-cooperative games and their formation and application on complex networks have been important research topics. In the inter-firm innovation network, it is a typical game behavior for firms to invest in their alliance partners. Accounting for the possibility that firms can be resource constrained, this paper analyzes a coordination game using the Nash bargaining solution as allocation rules between firms in an inter-firm innovation network. We build an extended inter-firm n-player game based on nonidealized conditions, describe four investment strategies and simulate the strategies on an inter-firm innovation network in order to compare their performance. By analyzing the results of our experiments, we find that our proposed greedy strategy is the best-performing in most situations. We hope this study provides a theoretical insight into how firms make investment decisions.


Referens:
Zhou, Wen, Nikita Koptyug, Shutao Ye, Yifan Jia och Xiaolong Lu (2016), "An Extended N-Player Network Game and Simulation of Four Investment Strategies on a Complex Innovation Network". PLoS ONE 11(1), 1–18.

Nikita Koptyug

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