Abstract
Understanding the evolution and spread of opinions within social groups gives important insight into areas such as public elections and marketing. We are specifically interested in how psychological theories of interpersonal influence may affect how individuals change their opinion through interactions with their peers, and apply Agent Based Modelling to explore the factors that may affect the emergence of consensus.
We investigate the coevolution of opinion and location by extending the Deffuant-Weisbuch bounded confidence opinion model to include mobility inspired by the psychological theories of homophily and dissonance, where agents are attracted or repelled by their neighbours based on the agreement of their opinions. Based on wide experimentation, we characterise the time it takes to converge to a steady state and the local diversity of opinions that results, finding that homophily leads to drastic differences in the nature of consensus.
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References
Abid, O., Jamoussi, S., Ayed, Y.B.: Deterministic models for opinion formation through communication: a survey. Online Soc. Netw. Media 6, 1–17 (2018)
Axelrod, R.: The dissemination of culture: a model with local convergence and global polarization. J. Conflict Resolut. 41(2), 203–226 (1997)
Banisch, S., Araújo, T., Louçã, J.: Opinion dynamics and communication networks. Adv. Complex Syst. 13(01), 95–111 (2010)
Bruch, E., Atwell, J.: Agent-based models in empirical social research. Sociol. Methods Res. 44(2), 186–221 (2015)
Castellano, C., Fortunato, S., Loreto, V.: Statistical physics of social dynamics. Rev. Modern Phys. 81(2), 591 (2009)
Chen, G., et al.: Deffuant model on a ring with repelling mechanism and circular opinions. Phys. Rev. E 95(4), 042118 (2017)
Deffuant, G., Neau, D., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Adv. Complex Syst. 3(01n04), 87–98 (2000)
Ester, M., Kriegel, H.P., Sander, J., Xu, X., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, vol. 96, pp. 226–231 (1996)
Festinger, L.: A Theory of Cognitive Dissonance, vol. 2. Stanford University Press, Stanford (1957)
Festinger, L., Schachter, S., Back, K.: Social Pressures in Informal Groups; A Study of Human Factors in Housing. Harper & Brothers, New York (1950)
Galam, S.: Real space renormalization group and totalitarian paradox of majority rule voting. Physica A: Stat. Mech. Appl. 285(1–2), 66–76 (2000)
Galam, S., Chopard, B., Masselot, A., Droz, M.: Competing species dynamics: qualitative advantage versus geography. Eur. Phys. J. B-Condens. Matter Complex Syst. 4(4), 529–531 (1998)
Gargiulo, F., Huet, S.: Opinion dynamics in a group-based society. EPL (Europhys. Lett.) 91(5), 58004 (2010)
Grabowski, A.: Opinion formation in a social network: the role of human activity. Physica A: Stat. Mech. Appl. 388(6), 961–966 (2009)
Gracia-Lázaro, C., Lafuerza, L.F., Floría, L.M., Moreno, Y.: Residential segregation and cultural emination: an axelrod-schelling model. Phys. Rev. E 80(4), 046123 (2009)
Guo, L., Cheng, Y., Luo, Z.: Opinion dynamics with the contrarian deterministic effect and human mobility on lattice. Complexity 20(5), 43–49 (2015)
Guy, S.J., Kim, S., Lin, M.C., Manocha, D.: Simulating heterogeneous crowd behaviors using personality trait theory. In: Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 43–52. ACM (2011)
Hegselmann, R., Krause, U., et al.: Opinion dynamics and bounded confidence models, analysis, and simulation. J. Artif. Soc. Social Simul. 5(3) (2002)
Helbing, D., Farkas, I.J., Molnar, P., Vicsek, T.: Simulation of pedestrian crowds in normal and evacuation situations. Pedestr. Evacuation Dyn. 21(2), 21–58 (2002)
Latané, B.: The psychology of social impact. Am. Psychol. 36(4), 343 (1981)
Lorenz, J.: Continuous opinion dynamics under bounded confidence: a survey. Int. J. Modern Phys. C 18(12), 1819–1838 (2007)
Martins, A.C.: Continuous opinions and discrete actions in opinion dynamics problems. Int. J. Modern Phys. C 19(04), 617–624 (2008)
McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a feather: homophily in social networks. Ann. Rev. Sociol. 27(1), 415–444 (2001)
Pfau, J., Kirley, M., Kashima, Y.: The co-evolution of cultures, social network communities, and agent locations in an extension of axelrod’s model of cultural dissemination. Physica A: Stat. Mech. Appl. 392(2), 381–391 (2013)
Schelling, T.C.: Dynamic models of segregation. J. Math. Sociol. 1(2), 143–186 (1971)
Schweitzer, F., Hołyst, J.: Modelling collective opinion formation by means of active brownian particles. Eur. Phys. J. B-Condens. Matter Complex Syst. 15(4), 723–732 (2000)
Sobkowicz, P.: Modelling opinion formation with physics tools: call for closer link with reality. J. Artif. Soc. Soc. Simul. 12(1), 11 (2009)
Sousa, A., Yu-Song, T., Ausloos, M.: Effects of agents’ mobility on opinion spreading in Sznajd model. Eur. Phys. J. B-Condens. Matter Complex Syst. 66(1), 115–124 (2008)
Sznajd-Weron, K., Sznajd, J.: Opinion evolution in closed community. Int. J. Modern Phys. C 11(06), 1157–1165 (2000)
Xia, H., Wang, H., Xuan, Z.: Opinion dynamics: a multidisciplinary review and perspective on future research. Int. J. Knowl. Syst. Sci. (IJKSS) 2(4), 72–91 (2011)
Xie, Z., Song, X., Li, Q.: A review of opinion dynamics. In: Zhang, L., Song, X., Wu, Y. (eds.) AsiaSim/SCS AutumnSim - 2016. CCIS, vol. 646, pp. 349–357. Springer, Singapore (2016). https://doi.org/10.1007/978-981-10-2672-0_36
Zhang, Y., Liu, Q., Wang, Z., Zhang, S.: On the opinion formation of mobile agents with memory. Physica A: Stat. Mech. Appl. 492, 438–445 (2018)
Acknowledgement
This research was supported by the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government.
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Alraddadi, E.E., Allen, S.M., Whitaker, R.M. (2019). Homophily, Mobility and Opinion Formation. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_11
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