Hui Chang

TL;DR: A simple model is suggested to show a possible evolutionary mechanism for the emergence of cooperation networks, and the analytic and numerical results obtained are in good agreement with the empirical results.

TL;DR: Empirical investigation results on weighted and un-weighted assortativity, act degree distribution, degree distribution and node strength distribution of nine real world collaboration networks have been presented, and one can qualitatively judge the random selection proportion of the real world network in its evolution process.

TL;DR: A simplified game theory model is proposed for simulating the evolution of the traffic network, where three network manipulators, passengers, an urban public traffic company, and a government traffic management agency play games in a network evolution process.

TL;DR: This work proposes describing a kind of cooperation–competition systems by node-weighted bipartite graphs using some statistical properties for the description of such kind of systems, and reports on two example systems.

TL;DR: It is proposed that the evolution of urban public traffic network can be considered as a game process between two network manipulators, i.e., passengers and company, and the equilibrium solution to the game determines the steady-state behavior of the network.