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


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.

SUBMITTER: Zhou W 

PROVIDER: S-EPMC4706442 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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

Zhou Wen W   Koptyug Nikita N   Ye Shutao S   Jia Yifan Y   Lu Xiaolong X  

PloS one 20160108 1


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 netwo  ...[more]

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