By: Shah Jamal Alam, Ruth Meyer and Emma Norling
Date: 31st January 2007
CPM Report No.: CPM-07-174
Published as: Alam, S.J., Meyer, R. and Norling, E. (2007), Agent-based Model of Impact of Socioeconomic Stressors: A DYNAMIC Network Perspective, in Proceedings of the Sixth Intl. Joint Conf. on Autonomous Agents and Multiagent Systems (AAMAS'07), IFAAMAS, pp. 1079-182
We have developed an agent-based simulation model based on a real case study in the Sekhukhune district of the Limpopo province in South Africa. The work reported here is part of an ongoing project that deals with social complexity emerging from bottom-up as a result of individuals’ interaction. Interactions are modeled at the individual and the household level. Networks that result from the social processes in this simulation are dynamic and co-evolving. We outline a possible way of comparing simulation snapshots when the population size does not depend on a network’s global characteristic.
social simulation, social processes, dynamic networks, Kolmogorov-Smirnov statistic