Simulating Information Transmission Mechanisms on a Network through Particle Swarm Optimization

This paper proposes an information transmission model through Particle Swarm Optimization (PSO). This model enables us to manage the complexity of information topic. We consider the factors of PSO as the three aspects of the information transmission: 1) the structure of network, 2) the value of information, and 3) the character of agents. Our main findings are 1) the relation between topics and the information network, 2) how the character of agent affects, and 3) the characters of agents based on his degree.