Abstract
We use the Cellular Automata to study the process of opinion formation in the community. The crucial property characterizing the existing models is the method of updating the system. In the paper we choose the randomized Glauber method and concentrate on the influence of topology of the system on the opinion understood as the support for specific real parties. We study also the relation between the topology and the parameters of the Glauber method. We propose to perform the analysis of the results based on the Fourier transform. This form of presentation discloses some interesting properties of both real-world and simulation results.
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References
Clifford, P., Sudbury, A.: A model for spatial conflict. Biometrika 60, 581–588 (1973)
Galam, S.: Minority opinion spreading in random geometry. Eur. Phys. J. B 25, 403–406 (2002)
Sznajd-Weron, K., Sznajd, J.: Opinion evolution in closed community. Int. J. Mod. Phys. C 11, 1157 (2000)
Grabowski, A., Kosinski, R.: Ising-based model of opinion formation in a complex network of interpersonal interactions. Physica A 361, 651–664 (2006)
Iniguez, G., Barrio, R.A., Kertesz, J., Kaski, K.K.: Modelling opinion formation driven communities in social networks. Comput. Phys. Commun. 182, 1866–1869 (2011). Computer Physics Communications Special Edition for Conference on Computational Physics Trondheim, Norway, 23–26 June 2010
Bordogna, C.M., Albano, E.V.: Dynamic behavior of a social model for opinion formation. Phys. Rev. E 76, 061125 (2007)
Schmittmann, B., Mukhopadhyay, A.: Opinion formation on adaptive networks with intensive average degree. Phys. Rev. E 82, 066104 (2010)
Krause, S.M., Bornholdt, S.: Opinion formation model for markets with a social temperature and fear. Phys. Rev. E 86, 056106 (2012)
Sobkowicz, P., Kaschesky, M., Bouchard, G.: Opinion formation in the social web: agent-based simulations of opinion convergence and divergence. In: Cao, L., Bazzan, A.L.C., Symeonidis, A.L., Gorodetsky, V.I., Weiss, G., Yu, P.S. (eds.) ADMI 2011. LNCS, vol. 7103, pp. 288–303. Springer, Heidelberg (2012)
Prettejohn, B.J., McDonnell, M.D.: Effect of network topology in opinion formation models. In: Guttmann, C., Dignum, F., Georgeff, M. (eds.) CARE 2009/2010. LNCS, vol. 6066, pp. 114–124. Springer, Heidelberg (2011)
Hammer, R.J., Moore, T.W., Finley, P.D., Glass, R.J.: The role of community structure in opinion cluster formation. In: Glass, K., Colbaugh, R., Ormerod, P., Tsao, J. (eds.) Complex 2012. LNICST, vol. 126, pp. 127–139. Springer, Heidelberg (2013)
Gwizdałła, T.M.: The dynamics of disproportionality index for cellular automata based sociophysical models. In: Sirakoulis, G.C., Bandini, S. (eds.) ACRI 2012. LNCS, vol. 7495, pp. 91–100. Springer, Heidelberg (2012)
Sendra, N., Gwizdałła, T.M.: Sznajd model with memory. In: Was, J., Sirakoulis, G.C., Bandini, S. (eds.) ACRI 2014. LNCS, vol. 8751, pp. 349–356. Springer, Heidelberg (2014)
Stauffer, D., Sousa, A.O., de Oliveira, S.: Generalization to square lattice of Sznajd sociophysics model. Int. J. Mod. Phys. C 11, 1239–1245 (2000)
Barabasi, A.L., Albert, R.: Emergence of scaling in random networks. Science 286, 509–512 (1999)
Schnettler, S.: A structured overview of 50 years of small-world research. Soc. Netw. 31, 165–178 (2009)
Lattanzi, S., Panconesi, A., Sivakumar, D.: Milgram-routing in social networks. In: Srinivasan, S., Ramamritham, K., Kumar, A., Ravindra, M.P., Bertino, E., Kumar, R. (eds.) Proceedings of the 20th International Conference on WWW, pp. 725–734. ACM (2011)
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Gwizdałła, T.M. (2015). The Influence of Cellular Automaton Topology on the Opinion Formation. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2015. Lecture Notes in Computer Science(), vol 9251. Springer, Cham. https://doi.org/10.1007/978-3-319-21909-7_17
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DOI: https://doi.org/10.1007/978-3-319-21909-7_17
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