The Effect of Network Structure on Individual Behavior
James Hay
Department of Chemical and Biochemical Engineering
Western University, London, ON, Canada
jmhcontact@cogeco.ca
David Flynn
King's University College, London, ON
Abstract
Using computer networks built from cellular automata fundamentals, this paper shows how the behavior of individuals at the nodes or vertices in those networks is affected by the network structure, analogous to the way the behavior of individuals in a social network may be affected by social structure. In this paper, we use global cellular automata (GCAs) arranged in global cellular automata networks (GCANs). The networks studied are random, small worlds, cycle, wheel, star, and hierarchical, and we compare our results with those generally expected.
