Prisoner's dilemma game on reputation-based weighted network

In this paper, we study the prisoner's dilemma game on reputation-based weighted network. We define a player's reputation as the frequency of cooperation in the past few time steps. The edge weight of a link is determined by the reputation of the two players at both ends. The payoff of an agent is multiplied by the value of edge weight. Compared with the unweighted network, the cooperation level is promoted strongly on the reputation-based weighted network. Moreover, we find that the cooperation level declines when the length of credit history becomes longer.