ArticlePloS one2016
An Extended N-Player Network Game and Simulation of Four Investment Strategies on a Complex Innovation Network.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Reverse game: from Nash equilibrium to network structure, number and probability of occurrence.Royal Society open science · 2025Article
- Optimal strategies and cost-benefit analysis of the [Formula: see text]-player weightlifting game.Scientific reports · 2022Article
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5 authors.
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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.
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