A mathematical value system model for agent in online social network

Agent-based modeling is a powerful method for studying user´s behaviors in online social networks. Agent uses its value system to estimate the value of its behavior. A good value system model for agent can make the agent more intelligence and hence facilitate the development of intelligence system. However, the issue of modeling agent´s value system is not properly studied yet. In this paper, we propose a mathematical value system model for estimating the value of agent´s behavior in online social network. We use three evaluation dimensions as the universal equivalents for behaviors, and propose a weight function mechanism to estimate each dimension´s weight. We show the potential usage of our model by applying it to the case of online word-of-mouth advertising.