Abstract
In social simulation, not only are the structures of the social relations fundamental for the construction of plausible scenarios, but also the interaction processes are shaped by these structures. Each actor interacts in multiple social contexts located within multiple social relations that constitute his social space. We build on previous work about context switching to study the notion of context segregation. The agents not only switch between social contexts, carrying with them their unique social identities, but also choose the contexts according to personal reasons. We apply the notion of context segregation to a simple game of consensus in which agents try to collectively achieve an essentially arbitrary consensus. We make a first analysis of our set of experiments towards understanding the influence of the segregation mechanism in the speed of convergence to global consensus and compare the results with those of the context switching model.
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References
Antunes L, Urbano P, Coelho H (2006) Context permeability. Sciences, New York
Antunes L, Balsa J, Urbano P, Coelho H (2008) Exploring context permeability in multiple social networks. In: Proceedings of the world congress on social simulation, 2008
Antunes L, Nunes D, Coelho H, Balsa JA, Urbano P (2009) Context switching versus context permeability in multiple social networks. In: Progress in artificial intelligence. Lecture notes in computer science, vol 5816. Springer-Verlag Berlin, Heidelberg, pp 547–559
Barabási A, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509
Castelló X, EguÃluz VM, Miguel MS, Loureiro-Porto L, Toivonen R, Saramäki J, Kaski K (2008) Modelling language competition: bilingualism and complex social networks. In: The evolution of language - proceedings of the 7th international conference, pp 59–66
Erdös P, Rényi A (1959) On random graphs I. Publ Math Debrecen 6:290–297
Fagiolo G, Valente M, Vriend N (2007) Segregation in networks. J Econ Behav Organ 64(3–4):316–336
Groeber P, Schweitzer F, Press K (2009) How groups can foster consensus: the case of local cultures. J Artif Soc Soc Simul 12(2):4
Luke S, Cioffi-Revilla C, Panait L, Sullivan K, Balan G (2005) MASON: a multiagent simulation environment. Simulation 81(7):517–527
Nunes D, Antunes L (2012) Parallel execution of social simulation models in a grid environment. In: MABS, pp 115–129
Schelling TC (1969) Models of segregation. Am Econ Rev 59(2):488–493
Schelling TC (1971) Dynamic models of segregation. J Math Sociol 1:143–186
Tassier T, Menczer F (2008) Social network structure, segregation, and equality in a labor market with referral hiring. J Econ Behav Organ 66(3–4):514–528
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Nunes, D., Antunes, L. (2014). Achieving Consensus with Segregation in Multiple Social Contexts. In: Chen, SH., Terano, T., Yamamoto, R., Tai, CC. (eds) Advances in Computational Social Science. Agent-Based Social Systems, vol 11. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54847-8_7
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DOI: https://doi.org/10.1007/978-4-431-54847-8_7
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