Networks consist of agents and the activities of them. A large number of studies in mainstream economics focus on the activities of homogenous agents. However it is clear that the reality is quite different. In fact, economic systems involve many heterogeneous agents and their complex interactions. To overcome this weakness of the classical perspective, in recent years, direction of the studies has changed towards the complex networks. Agent based modeling and simulation (ABMS) is a powerful tool for analyzing such systems. Model enables interacting agents to assess individually their positions and make decisions on the basis of a set of rules that configure the system. The aim of this study is to guide the researchers who are interested in agent based modeling of complex networks, by examining its vide range of applications. Accordingly, first a brief explanation of complexity and complex systems is given. Then a literature survey on the studies concerning agent based modeling applications of social network is presented and suggestions are given for some promising applications.
Complex Networks, Agent-Based Modeling, Complexity Economics. JEL Classifications: C63, C69.