Research on the influence mechanism of resettlers participation in migrant work in the context of relationship network

Abstract

Under the network environment, the simulation for the evolution of the interaction behavior between immigrants is explored from two aspects of the crowd risk appetite and neighbor behavior effectiveness. The utility will choose decision-making behavior of the immigrants combined with the randomness of complex social network, establish the stochastic equilibrium evolution model of neighbor preferred, and use MATALAB and Netlogo to simulation analysis. The results show that: 1) The different risk preference of individual groups have different behavior decision state evolution regular; 2) social network structure of the randomness and connectivity play an important role for the stability of the crowd behavior decision-making and evolution; 3) the size of the information flow in the social network relationship and neighbor preferences effect on the balance of work behavior evolution. The study to some extent analyzed the influence factors of immigrants’ behavior change, explains the inherent law of the people neighbor preferred behavior evolution, provide the supportive theoretical evidence for the immigrants’ behavior management under the network environment.