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Considering baseline homophily when generating spatial social networks for agent-based modelling

Author

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  • Sascha Holzhauer

    (University of Kassel)

  • Friedrich Krebs

    (University of Kassel)

  • Andreas Ernst

    (University of Kassel)

Abstract

Social networks have become an important part of agent-based models, and their structure may have remarkable impact on simulation results. We propose a simple and efficient but empirically based approach for spatial agent-based models which explicitly takes into account restrictions and opportunities imposed by effects of baseline homophily, i.e. the influence of local socio-demography on the composition of one’s social network. Furthermore, the algorithm considers the probability of links that depends on geographical distance between potential partners. The resulting network reflects social settings and furthermore allows the modeller to influence network properties by adjusting agent type specific parameters. Especially the parameter for distance dependence and the probability of distant links allow for control of clustering and agent type distribution of personal networks.

Suggested Citation

  • Sascha Holzhauer & Friedrich Krebs & Andreas Ernst, 2013. "Considering baseline homophily when generating spatial social networks for agent-based modelling," Computational and Mathematical Organization Theory, Springer, vol. 19(2), pages 128-150, June.
    • Handle: RePEc:spr:comaot:v:19:y:2013:i:2:d:10.1007_s10588-012-9145-7
    DOI: 10.1007/s10588-012-9145-7
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    1. Anja Soboll & Michael Elbers & Roland Barthel & Juergen Schmude & Andreas Ernst & Ralf Ziller, 2011. "Integrated regional modelling and scenario development to evaluate future water demand under global change conditions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(4), pages 477-498, April.
    2. Lambiotte, Renaud & Blondel, Vincent D. & de Kerchove, Cristobald & Huens, Etienne & Prieur, Christophe & Smoreda, Zbigniew & Van Dooren, Paul, 2008. "Geographical dispersal of mobile communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5317-5325.
    3. Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran, 2006. "Agent-Based Computational Modelling: An Introduction," Contributions to Economics, in: Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), Agent-Based Computational Modelling, pages 1-16, Springer.
    4. Jukka-Pekka Onnela & Samuel Arbesman & Marta C González & Albert-László Barabási & Nicholas A Christakis, 2011. "Geographic Constraints on Social Network Groups," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-7, April.
    5. L. Jiang & D. Hua & J. Zhu & B. Wang & T. Zhou, 2008. "Opinion dynamics on directed small-world networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 65(2), pages 251-255, September.
    6. Toroczkai, Zoltán & Guclu, Hasan, 2007. "Proximity networks and epidemics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 68-75.
    7. Grabowski, Andrzej, 2009. "Opinion formation in a social network: The role of human activity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 961-966.
    8. Guillaume Deffuant, 2006. "Comparing Extremism Propagation Patterns in Continuous Opinion Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(3), pages 1-8.
    9. Bruce Edmonds, 2006. "How Are Physical and Social Spaces Related? — Cognitive Agents as the Necessary “Glue”," Contributions to Economics, in: Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), Agent-Based Computational Modelling, pages 195-214, Springer.
    10. Lynne Hamill & Nigel Gilbert, 2009. "Social Circles: A Simple Structure for Agent-Based Social Network Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-3.
    11. Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), 2006. "Agent-Based Computational Modelling," Contributions to Economics, Springer, number 978-3-7908-1721-8, September.
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