Signatures in Networks Generated
from Agent-based Social Simulation Models

CPM Report No.: 07-176
By: Shah Jamal Alam, Ruth Meyer and Bruce Edmonds
Date: April 14th, 2007

Abstract

Finding suitable analysis techniques for networks generated from social processes is a difficult task when the population changes over time. Traditional social network analysis measures may not work in such circumstances. It is argued that agent-based social networks should not be constrained by a priori assumptions about the evolved network and/or the analysis techniques. In most agent-based social simulation models, the number of agents remains fixed throughout the simulation; this paper considers the case when this does not hold. Thus the aim of this paper is to demonstrate how the network signatures change when the agents’ population depends upon endogenous social processes. We argue for a much wider attention from the social simulation community in addressing this open research problem.

Keywords: agent-based social simulation, social network signatures, Kolmogorov-Smirnov statistic

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