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An Agent-Based Model of Ethnic Mobilisation

Author

Listed:
  • Armano Srbljinovic
  • Drazen Penzar
  • Petra Rodik
  • Kruno Kardov

Abstract

In this paper we used the methodology of agent-based modelling to help explaining why populations with very similar socio-demographic characteristics sometimes exhibit great differences in ethnic mobilisation levels during mobilisation processes. This agent-based model of ethnic mobilisation was inspired and developed by combining and extending several theories, ideas and modelling constructs that were already used in agent-based modelling of social processes. The model has been specifically adapted to account for some of the most important characteristics of ethnic mobilisation processes that took place in the former Yugoslavia. Results obtained by experimenting with the model indicate that the observed differences in mobilisation levels across populations may sometimes not be related to the variations within any particular socio-demographic factor, but merely to random differences in the initial states of the individuals. In this model these random differences primarily relate to the degrees of importance that individuals attach to their ethnic identity, as well as to the layout of social networks.

Suggested Citation

  • Armano Srbljinovic & Drazen Penzar & Petra Rodik & Kruno Kardov, 2003. "An Agent-Based Model of Ethnic Mobilisation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(1), pages 1-1.
    • Handle: RePEc:jas:jasssj:2002-39-2
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    File URL: http://jasss.soc.surrey.ac.uk/6/1/1.html
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    Citations

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    Cited by:

    1. Iulia Cioroianu, 2021. "An agent-based model of cooperation with cross-cutting identity dimensions," Journal of Computational Social Science, Springer, vol. 4(1), pages 49-75, May.
    2. Jasper Muis, 2010. "Simulating Political Stability and Change in the Netherlands (1998-2002): an Agent-Based Model of Party Competition with Media Effects Empirically Tested," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(2), pages 1-4.
    3. Lingzhi Luo & Nilanjan Chakraborty & Katia Sycara, 2011. "An evolutionary game-theoretic model for ethno-religious conflicts between two groups," Computational and Mathematical Organization Theory, Springer, vol. 17(4), pages 379-401, November.
    4. Dan Miodownik, 2006. "Cultural Differences and Economic Incentives: an Agent-Based Study of Their Impact on the Emergence of Regional Autonomy Movements," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-2.
    5. Martin Neumann, 2007. "Complexity of social stability: a model-to-model analysis of Yugoslavia's decline," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 5(2), pages 92-111.

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