Agent Based Models And Network Dynamics

The book integrates agent-based modeling and network science. It is divided into three parts, namely, foundations, primary dynamics on and of social networks, and applications. The authors begin with the network origin of agent-based models, known as cellular automata, and introduce a number of classic models, such as Schelling's segregation model and Axelrod's spatial game. The text shows that the modern network science mainly driven by game-theorists andsociophysicists has inspired agent-based social scientists to develop alternative formation algorithms, known as agent-based social networks.