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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 and Xiaolong Lu

PLOS ONE, 2016, vol. 11, issue 1, 1-18

Abstract: 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.

Date: 2016
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Working Paper: An Extended N-player Network Game and Simulation of Four Investment Strategies on a Complex Innovation Network (2015) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0145407

DOI: 10.1371/journal.pone.0145407

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