Abstract
In agent-based social simulation, agents engage into several concomitant relations, forming social networks. In these several networks, agents are immersed in contexts, in which they contact more often with some agents than with others. Moreover, for the complex cases involved in social simulation, most of these networks will be multi-modal, comprehending networks of agents which form themselves other networks, and so forth successively, including self-organised and institutional aggregates. We have proposed the concept of permeability between contexts, and have showed how in certain conditions the explicit representation of these multiple relations can enhance the dissemination of phenomena in an important feature for the analysis of the complex dynamical behaviour of the networks. In this paper, we further explore this research by considering the concepts involved in the representation of these complex social descriptions, and other related concepts, such as roles. We compare the results of previous simulations with a variation of the consensus game, and conclude that the permeability between contexts in different relations can greatly enhance the dissemination of phenomena throughout the society, allowing to explore rich informational and dynamical content of the networks.
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References
Albert R, Barabási A-L (2002) Statistical mechanics of complex networks. Rev Mod Phys 74(1):47
Amblard F, Ferrand N (1998) Modélisation multi-agents de l’évolution de réseaux sociaux. In: Ferrand N (ed) Actes du Colloque Modèles et Systèmes Multi-agents pour la gestion de l’environment et des territoires, pp 153–168
Antunes L, Balsa J, Urbano P, Coelho H (2007) The challenge of context permeability in social simulation. In: Proceedings of fourth European social simulation association conference, Toulouse, France, September 2007
Antunes L, Coelho H, Balsa J, Respício A (2006) e*plore v.0: Principia for strategic exploration of social simulation experiments design space. In: Proc. of the first congress on social simulation WCSS 2006, Kyoto, Japan
Axelrod R (1997) Advancing the art of simulation in the social sciences. In: Conte R, Hegselmann R, Terna P (eds) Simulating social phenomena. LNEMS, vol 456. Springer, Heidelberg
Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512
Brelger R, Carley K, Pattison P (2004) Dynamic social network modeling and analysis: workshop summary and papers. National Academy Press, Washington, DC
Hanneman RA, Riddle M (2005) Introduction to social network methods. University of California, Riverside. faculty.ucr.edu/∼hanneman
Hassan S, Antunes L, Arroyo M (2008) Deepening the demographic mechanisms in a data-driven social simulation of moral values evolution. In: MABS 2008: multi-agent-based simulation. Springer
Hassan S, Pavón J, Antunes L, Gilbert N (2010) Injecting data into agent-based simulation. In: Takadama K, Deffuant G, Cioffi-Revilla C (eds) Simulating interacting agents and social phenomena: the second world congress. Agent based social systems (vol 7), Springer, Tokyo (this volume)
Masolo C, Vieu L, Bottazzi E, Catenacci C, Ferrario R, Gangemi A, Guarino N (2004) Social roles and their descriptions. In: Dubois D, Welty CA, Williams M-A (eds) Principles of knowledge representation and reasoning: proceedings of the ninth international conference (KR2004). AAAI Press, Menlo Park, CA, pp 267–277
Matsuo Y, Hamasaki M, Nakamura Y, Nishimura T, Hasida K, Takeda H, Mori J, Bollegala D, Ishizuka M (2006) Spinning multiple social networks for semantic web. In: Proceedings, the twenty-first national conference on artificial intelligence and the eighteenth innovative applications of artificial intelligence conference, Boston, Massachusetts, USA, 16–20 July 2006. AAAI Press
McCarthy J (1993) Notes on formalizing context. In: Proceedings of IJCAI, pp 555–562
Seyed-allaei H, Bianconi G, Marsili M (2006) Scale-free networks with an exponent less than two. Phys Rev E 73:046113
Urbano P, Decentralised Consensus Games (in Portuguese). PhD thesis, Faculdade de Ciências da Universidade de Lisboa, 2004
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We would like to thank the anonymous reviewers of both revision phases for their feedback which allowed us to significantly improve the paper.
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Antunes, L., Balsa, J., Urbano, P., Coelho, H. (2010). Exploring Context Permeability in Multiple Social Networks. In: Takadama, K., Cioffi-Revilla, C., Deffuant, G. (eds) Simulating Interacting Agents and Social Phenomena. Agent-Based Social Systems, vol 7. Springer, Tokyo. https://doi.org/10.1007/978-4-431-99781-8_6
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DOI: https://doi.org/10.1007/978-4-431-99781-8_6
Publisher Name: Springer, Tokyo
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