Abstract
The process of influence and opinion dynamics is predominant in many kinds of real-life situations involving agents’ interactions. This phenomenon is extensively analyzed in different fields and with the help of various methods and tools. Network analysis is particularly suitable for the study of influence and opinion formation. The aim of this paper is to provide an overview of selected results on models of influence and opinion dynamics in social networks with non-strategic updating of binary opinions. We start with presenting some results on the relation between a static binary opinion model of influence with influence indices, follower and influence functions, and a framework of simple games called command games. Then, we focus on binary opinion dynamics with non-strategic agents embedded in a social network. In this overview, a special attention is paid to models based on aggregation functions which can be seen as a generalization of the threshold model. In particular, we present some of the main results of the convergence analysis concerning anonymous social influence, conformism and anti-conformism in social networks. Also the phenomenon of diffusion in large networks with the diffusion mechanism represented by an aggregation function is briefly presented. Finally, we conclude this overview paper by indicating some possible directions for future research on the discrete opinion dynamics in social networks.
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References
Acemoglu, D., Ozdaglar, A.: Opinion dynamics and learning in social networks. Dyn. Games Appl. 1, 3–49 (2011)
Aracena, J., Demongeot, J., Goles, E.: On limit cycles of monotone functions with symmetric connection graph. Theoret. Comput. Sci. 322, 237–244 (2004)
Berge, C.: Graphs and Hypergraphs, 2nd edn. North-Holland, Amsterdam (1976)
Bramoullé, Y., Galeotti, A., Rogers, B.W.: The Oxford Handbook of the Economics of Networks. Oxford University Press, Oxford (2016)
Castellano, C., Muñoz, M.A., Pastor-Satorras, R.: Nonlinear q-voter model. Phys. Rev. E 80, 041129 (2009)
Clifford, P., Sudbury, A.: A model for spatial conflict. Biometrika 60, 581–588 (1973)
Davey, B.A., Priestley, H.A.: Introduction to Lattices and Orders. Cambridge University Press, Cambridge (1990)
Förster, M., Grabisch, M., Rusinowska, A.: Anonymous social influence. Games Econ. Behav. 82(C), 621–635 (2013)
Galam, S.: Minority opinion spreading in random geometry. Eur. Phys. J. B 25, 403–406 (2002)
Galam, S.: Contrarian deterministic effects on opinion dynamics: “the hung elections scenario.” Phys. A 333, 453–460 (2004)
Ginosar, Y., Holzman, R.: The majority action on infinite graphs: strings and puppets. Discret. Math. 215, 59–71 (2000)
Goles, E., Olivos, J.: Periodic behavior of generalized threshold functions. Discret. Math. 30, 187–189 (1980)
Grabisch, M., Li, F.: Anti-conformism in the threshold model of collective behavior. Dyn. Games Appl. 10, 444–477 (2020)
Grabisch, M., Marichal, J.-L., Mesiar, R., Pap., E.: Aggregation functions. Number 127. In: Encyclopedia of Mathematics and its Applications. Cambridge University Press, Cambridge (2009)
Grabisch, M., Poindron, A., Rusinowska, A.: A model of anonymous influence with anti-conformist agents. J. Econ. Dyn. Control 109(C), 103773 (2019)
Grabisch, M., Rusinowska, A.: Measuring influence in command games. Soc. Choice Welfare 33(2), 177–209 (2009)
Grabisch, M., Rusinowska, A.: A model of influence in a social network. Theor. Decis. 69(1), 69–96 (2010)
Grabisch, M., Rusinowska, A.: A model of influence with an ordered set of possible actions. Theor. Decis. 69(4), 635–656 (2010)
Grabisch, M., Rusinowska, A.: Different approaches to influence based on social networks and simple games. In: Van Deemen, A., Rusinowska, A. (eds.) Collective Decision Making: Views from Social Choice and Game Theory. Theory and Decision Library C, vol. 43, pp. 185–209. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-02865-6_13
Grabisch, M., Rusinowska, A.: Iterating influence between players in a social network. CES Working Papers, 2010.89 (2010). https://shs.hal.science/halshs-00543840
Grabisch, M., Rusinowska, A.: Influence functions, followers and command games. Games Econom. Behav. 72(1), 123–138 (2011)
Grabisch, M., Rusinowska, A.: Lattices in social networks with influence. In: Proceedings of the ICFCA 2011 (9th International Conference on Formal Concept Analysis), Nicosia, Cyprus (2011)
Grabisch, M., Rusinowska, A.: A model of influence based on aggregation functions. Math. Soc. Sci. 66(3), 316–330 (2013)
Grabisch, M., Rusinowska, A.: Determining influential models. Oper. Res. Decis. 26(2), 69–85 (2016)
Grabisch, M., Rusinowska, A.: A survey on nonstrategic models of opinion dynamics. Games 11(4), 65 (2020)
Grabisch, M., Rusinowska, A., Venel, X.: Diffusion in large networks. J. Econ. Dyn. Control 139(C), 104439 (2022)
Granovetter, M.: Threshold models of collective behavior. Am. J. Sociol. 83, 1420–1443 (1978)
Gravner, J., Griffeath, D.: Cellular automaton growth on \(\mathbb{Z} ^2\): theorems, examples and problems. Adv. Appl. Math. 21, 241–304 (1998)
Holley, R.A., Liggett, T.M.: Ergodic theorems for weakly interacting infinite systems and the voter model. Ann. Probab. 3(4), 643–663 (1975)
Hoede, C., Bakker, R.: A theory of decisional power. J. Math. Sociol. 8, 309–322 (1982)
Hu, X., Shapley, L.S.: On authority distributions in organizations: controls. Games Econom. Behav. 45, 153–170 (2003)
Hu, X., Shapley, L.S.: On authority distributions in organizations: equilibrium. Games Econom. Behav. 45, 132–152 (2003)
Jackson, M.: Social and Economic Networks. Princeton University Press, Princeton (2008)
Jȩdrzejewski, A., Sznajd-Weron, K.: Statistical physics of opinion formation: is it a SPOOF? C R Phys. 20, 244–261 (2019)
Kemeny, J.G., Snell, J.L.: Finite Markov Chains. Springer, New York (1976)
Morris, S.: Contagion. Rev. Econ. Stud. 67, 57–78 (2000)
Mossel, E., Tamuz, O.: Opinion exchange dynamics. Probab. Surv. 14, 155–204 (2017)
Nowak, N., Sznajd-Weron, K.: Homogeneous symmetrical threshold model with nonconformity: independence versus anticonformity. Complexity 2019, 5150825 (2019)
Poindron, A.: A general model of binary opinions updating. Math. Soc. Sci. 109(C), 52–76 (2021)
Remy, E., Ruet, P., Thieffry, D.: Graphic requirements for multistability and attractive cycles in a Boolean dynamical framework. Adv. Appl. Math. 41, 335–350 (2008)
Rusinowska, A., Berghammer, R., De Swart, H., Grabisch, M.: Social networks: prestige, centrality, and influence. In: de Swart, H. (ed.) RAMICS 2011. LNCS, vol. 6663, pp. 22–39. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21070-9_2
Schelling, T.: Micromotives and Macrobehaviour. Norton, New York (1978)
Seneta, E.: Non-negative Matrices and Markov Chains. Springer Series in Statistics, Springer, New York (2006). https://doi.org/10.1007/0-387-32792-4
Yager, R.: On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans. Syst. Man Cybern. 18(1), 183–190 (1988)
Yager, R., Kacprzyk, J.: The Ordered Weighted Averaging Operators. Kluwer Academic Publishers (1997)
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Rusinowska, A., Grabisch, M. (2024). Binary Opinion Models of Influence and Opinion Dynamics in Social Networks. In: Gadouleau, M., Castillo-Ramirez, A. (eds) Cellular Automata and Discrete Complex Systems. AUTOMATA 2024. Lecture Notes in Computer Science, vol 14782. Springer, Cham. https://doi.org/10.1007/978-3-031-65887-7_4
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