Complex adaptive systems typically contain multiple, heterogeneous agents, with non-trivial interactions. Th ey tend to produce emergent (larger-scale) phenomena. Agent-based modelling allows one to read- ily capture the behaviour of a group of heterogeneous agents (such as people, animals, et cetera), with diverse behaviour and important in- teractions, so it is a natural t to modelling complex systems. Many complex systems (and agent-based models thereof) can be thought of as containing networks, either explicitly or implicitly. The refore for complex systems research it is important to have a good understand- ing of network analysis techniques. Thi s chapter is aimed at beginners to complex systems modelling and network analysis, using NetLogo (Sec- tion 1.1) and Pajek (Section 1.2) respectively. It is also aimed at more advanced complex systems modellers who want an introduction to these platforms
CITATION STYLE
Berryman, M. J., & Angus, S. D. (2010). Tutorials on Agent-based Modelling with NetLogo and Network Analysis with Pajek (pp. 351–375). World Scientific Pub Co Pte Lt. https://doi.org/10.1142/9789814277327_0010
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