Coevolution of influencebased preferential selection and limited resource with multigames on interdependent networks Abstract   In real life, some individuals generally have more influence than ordinary people. Their behaviors are easily learned by other individuals. In this article, we propose influencebased preferential selection multigames model on interdependent networks, where influence of players as a factor to be considered is involved in multiple game models and coevolved with cooperation. By using of coupled lattices, the effect of the cooperative behaviors of the system is comprehensively studies. Besides, in real life, resources are always related to the outcome of game. The results in game generally determine the allocation of limited resources, which in turn affects the choice of strategy. Hence, limited resources as a coevolutionary factor are also introduced into the game model, which mutual interacts with individualu0027s strategy and influence. Based on multigame model, the evolutionary dynamics of the model in detail is discussed. We find that the preferential selection mechanism based on influence can effectively improve the cooperative behaviors of the system, where the influence growth factor increases and the cooperation evolution also monotonously increases. Furthermore, the interdependent strength, suckeru0027s payoff and the distribution of limited resources would have different effects on the dynamics of the system.

CoEvolution of Complex Network Public Goods Game under the Edges Rules The reconnection of broken edges is an effective way to avoid drawback for the commons in past studies. Inspired by this, we proposed a public goods game model under the edges rules, where we evaluate the weight of edges by their nodesxe2x80x99 payoff. The results proved that the game obtains a larger range of cooperation with a small gain factor by this proposed model by consulting Monte Carlo simulations (MCS) and real experiments. Furthermore, as the following the course of game and discussing the reason of cooperation, in the research, we found that the distribution entropy of the excess average degree is able to embody and predict the presence of cooperation.