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

Reprint No. 2016:7

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.

Zhou, Wen, Nikita Koptyug, Shutao Ye, Yifan Jia and 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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Interdisciplinary European Studies

Trust in the European Union in Challenging Times


This is the first book in the Interdisciplinary European Studies collection. This volume provides an interdisciplinary perspective on trust in the EU from the vantage point of political science, law and economics. Lars Oxelheim, Lund University and affiliated to IFN, is one of the authors.


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