Abstract
Opinion is the aggregate of many thinking processes that lead to decision and action in humans. Therefore, the diffussion of opinion in social networks is of great relevance in many fields. Influence is the mechanism by which a human can drive a change in opinion in other human mind. Most current computational models of influence spread are motivated by the need to identify which social actors have maximal influence. An example application aims to achieve high penetration in the market with minimal effort. However, we are interested in the propagation of the opinions per se, and specifically in the mechanisms that allow some minority opinions to survive against the mainstream pressure. We assume that the agents are moving in space, so that spatial relations are modulating friendship and influence relations. We propose a model that shows opinion survival properties, and explore the effect of spatial perception parameters in the opinion difussion and survival process.
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References
Banisch, S., Lima, R., Araujo, T.: Agent based model and opinion dynamics as Markov chains. Soc. Netw. 34, 549ā561 (2012)
Crokidakis, N.: Effects of mass media on opinion spreading in the Sznajd sociophysics model. Phys. A: Stat. Mech. Appl. 391, 1729ā1734 (2012)
Deffuant, G., Amblard, F., Weisbuch, G., Faure, T.: How can extremism prevail? A study based on the relative agreement interaction model. J. Artif. Soc. Soc. Simul. 5(2) (2002)
Domingos, P., Richardson, M.: Mining the network value of customers. In: Seventh International Conference on Knowledge Discovery and Data Mining (2001)
Gil, S., Zanette, D.H.: Coevolution of agent and networks: opinion spreading and community disconnection. Phys. Lett. A 356, 89ā94 (2006)
Goldenberg, J.: Talk of the network: a complex systems look at the underlying process of word-of-mouth. Mark. Lett. 12, 211ā223 (2001)
Granovetter, M.: Threshold models of collective behavior. Am. J. Sociol. 83(6), 1420ā1443 (1978)
Dreyer Jr., P.A., Roberts, F.S.: Irreversible k-threshold processes: graph-theorical threshold models of the spread of disease and of opinion. Discret. Appl. Math. 157, 1615ā1627 (2008)
Jung, J., Bramson, A.: An agent - based model of indirect minority influence on social change. In: ALIFE 14 (2014)
Kempe, D., Kleinberg, J., Tardos, E.: Maximizing the spread of influence through a social network. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2003, pp. 137ā146. ACM, New York (2003)
Louie, M.A., Carley, K.M.: The role of dynamic-network multi-agent models of socio-political systems in policy. Technical report, CASOS (2007)
Mucchi-Faina, A., Paclilli, M.G., Pagliaro, S.: Minority influence, social change and social stability. Soc. Pers. Psychol. Compass 4, 1111ā1123 (2010)
Rouly, O.C.: At the root of sociality: working towards emergent, permanent, social affines. In: Proceedings of The European Conference on Artificial Life, pp. 82ā89 (2015)
Acknowledgments
Leire Ozaeta has been supported by a Predoctoral grant from the Basque Government.
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Ozaeta, L., GraƱa, M. (2017). Agent-Based Spatial Dynamics Explaining Sustained Opinion Survival. In: FerrĆ”ndez Vicente, J., Ćlvarez-SĆ”nchez, J., de la Paz LĆ³pez, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_15
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DOI: https://doi.org/10.1007/978-3-319-59773-7_15
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