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 …-firm innovation network. We build an extended inter-firm n-player game based on nonidealized conditions, describe four investment …

feature as a mean to discover communities in a given network. In this paper we show that metastable states correspond to … properties of the network, such as the number and relative size of communities and the structure of intra-/inter-community links …

between agents. Additionally, our simulation results give fresh impetus to debates about the interplay of innovation network … of an agent-based simulation model. The model incorporates three essential characteristics of knowledge that have not … been covered entirely by previous diffusion models: the network character of knowledge, compatibility of new knowledge with …

This paper introduces a simulation algorithm for evaluating the log-likelihood function of a large supermodular binary …-action game. Covered examples include (certain types of) peer effect, technology adoption, strategic network formation, and multi … algorithm which allows for accurate likelihood simulation with modest numbers of simulation draws …

This paper introduces a simulation algorithm for evaluating the log-likelihood function of a large supermodular binary …-action game. Covered examples include (certain types of) peer effect, technology adoption, strategic network formation, and multi … sampling algorithm which allows for accurate likelihood simulation with modest numbers of simulation draws. …