Tutorials on Agent-based Modelling with NetLogo and Network Analysis with Pajek

摘要

Complex adaptive systems typically contain multiple, heterogeneous agents, with non-trivial interactions. They tend to produce emergent (larger-scale) phenomena. Agent-based modelling allows one to readily capture the behaviour of a group of heterogeneous agents (such as people, animals, et cetera), with diverse behaviour and important interactions, so it is a natural fit to modelling complex systems. Many complex systems (and agent-based models thereof) can be thought of as containing networks, either explicitly or implicitly. Therefore for complex systems research it is important to have a good understanding of network analysis techniques. This chapter is aimed at beginners to complex systems modelling and network analysis, using NetLogo (Section 10.1) and Pajek (Section 10.2) respectively. It is also aimed at more advanced complex systems modellers who want an introduction to these platforms.