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Social Circles: A Simple Structure for Agent-Based Social Network Models

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Abstract

None of the standard network models fit well with sociological observations of real social networks. This paper presents a simple structure for use in agent-based models of large social networks. Taking the idea of social circles, it incorporates key aspects of large social networks such as low density, high clustering and assortativity of degree of connectivity. The model is very flexible and can be used to create a wide variety of artificial social worlds.

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  • 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.
  • Handle: RePEc:jas:jasssj:2008-70-2
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    1. Josep M. Pujol & Andreas Flache & Jordi Delgado & Ramon Sangüesa, 2005. "How Can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-12.
    2. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
    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.
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    4. Somayeh Koohborfardhaghighi & Jorn Altmann, 2016. "How Strategic Networking Impacts the Networking Outcome: A Complex Adaptive System Approach," TEMEP Discussion Papers 2016131, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Aug 2016.
    5. Meysam Alizadeh & Claudio Cioffi-Revilla & Andrew Crooks, 0. "Generating and analyzing spatial social networks," Computational and Mathematical Organization Theory, Springer, vol. 0, pages 1-29.
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    7. Meysam Alizadeh & Claudio Cioffi-Revilla & Andrew Crooks, 2017. "Generating and analyzing spatial social networks," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 362-390, September.
    8. Maggi,Elena & Vallino,Elena, 2017. "An Agent-Based Simulation of Urban Passenger Mobility and Related Policies. The Case Study of an Italian Small City," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201708, University of Turin.
    9. Wolf, Ingo & Schröder, Tobias & Neumann, Jochen & de Haan, Gerhard, 2015. "Changing minds about electric cars: An empirically grounded agent-based modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 269-285.
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    13. Bale, Catherine S.E. & McCullen, Nicholas J. & Foxon, Timothy J. & Rucklidge, Alastair M. & Gale, William F., 2013. "Harnessing social networks for promoting adoption of energy technologies in the domestic sector," Energy Policy, Elsevier, vol. 63(C), pages 833-844.
    14. Jaap Sok & Egil A J Fischer, 2020. "Farmers' heterogeneous motives, voluntary vaccination and disease spread: an agent-based model," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 47(3), pages 1201-1222.
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    16. Per Block & Marion Hoffman & Isabel J. Raabe & Jennifer Beam Dowd & Charles Rahal & Ridhi Kashyap & Melinda C. Mills, 2020. "Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world," Nature Human Behaviour, Nature, vol. 4(6), pages 588-596, June.
    17. Shim, Jaehu & Kim, Jiyoung, 2018. "Estimating country-level social network density and supportive surroundings by simulation," Journal of Business Venturing Insights, Elsevier, vol. 9(C), pages 24-31.
    18. 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.
    19. Somayeh Koohborfardhaghighi & Jorn Altmann, 2016. "How Network Visibility and Strategic Networking Leads to the Emergence of Certain Network Characteristics: A Complex Adaptive System Approach," TEMEP Discussion Papers 2016130, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Aug 2016.
    20. Georg Mueller, 2011. "Microsimulation of Virtual Encounters: A New Methodology for the Analysis of Socio-Cultural Cleavages," International Journal of Microsimulation, International Microsimulation Association, vol. 4(1), pages 21-34.
    21. S'ergio Bacelar & Luis Antunes, 2019. "Generational political dynamics of retirement pensions systems: An agent based model," Papers 1909.08706, arXiv.org.
    22. Telcs, András & Csernai, Márton & Gulyás, András, 2013. "Load balanced diffusive capture process on homophilic scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(3), pages 510-519.
    23. Ronald, Nicole & Arentze, Theo & Timmermans, Harry, 2012. "Modeling social interactions between individuals for joint activity scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 276-290.
    24. Fontana, Magda & Terna, Pietro, 2015. "From Agent-based models to network analysis (and return): the policy-making perspective," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201507, University of Turin.

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