Agent-based model of impact of socioeconomic stressors: a dynamic network perspective

Shah Jamal Alam, Ruth Meyer, Emma Norling

Abstract: 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. We model these interactions 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.