A model of anonymous influence with anti-conformist agents

We study a stochastic model of anonymous influence with conformist and anti-conformist individuals. Each agent with a ‘yes' or ‘no' initial opinion on a certain issue can change his opinion due to social influence. We consider anonymous influence, which depends on the number of agents having a certain opinion, but not on their identity. An individual is conformist/anti-conformist if his probability of saying ‘yes' increases/decreases with the number of ‘yes'- agents. In order to consider a society in which both conformists and anti-conformists co-exist, we investigate a generalized aggregation mechanism based on ordered weighted averages. Additionally, every agent has a coefficient of conformism which is a real number in [-1, 1], with negative/positive values corresponding to anti-conformists/conformists. The two extreme values -1 and 1 represent a pure anti-conformist and a pure conformist, respectively, and the remaining values - so called ‘mixed' agents. We consider two kinds of a society: without mixed agents, and with mixed agents who play randomly either as conformists or anti-conformists. For both cases of the model, we deliver a qualitative analysis of convergence, i.e., find all absorbing classes and conditions for their occurence.

[1]  S. Bikhchandani,et al.  You have printed the following article : A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades , 2007 .

[2]  Shachar Kariv,et al.  Distinguishing Informational Cascades from Herd Behavior in the Laboratory , 2004 .

[3]  Michel Grabisch,et al.  A model of influence with an ordered set of possible actions , 2010 .

[4]  Bartlomiej Nowak,et al.  Homogeneous Symmetrical Threshold Model with Nonconformity: Independence versus Anticonformity , 2019, Complex..

[5]  Satoru Takahashi,et al.  Anti-Coordination Games and Dynamic stability , 2007, IGTR.

[6]  E. Seneta Non-negative Matrices and Markov Chains , 2008 .

[7]  Sanjeev Goyal,et al.  Network formation and anti-coordination games , 2004, Int. J. Game Theory.

[8]  S. Galam,et al.  Chaotic, staggered, and polarized dynamics in opinion forming: The contrarian effect. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Matthew O. Jackson,et al.  Naïve Learning in Social Networks and the Wisdom of Crowds , 2010 .

[10]  Asuman E. Ozdaglar,et al.  Opinion Dynamics and Learning in Social Networks , 2010, Dyn. Games Appl..

[11]  Serge Galam,et al.  Fashion, novelty and optimality: an application from Physics , 2005 .

[12]  Charles A. Holt,et al.  information cascade experiments , 2010 .

[13]  Arun G. Chandrasekhar,et al.  Testing Models of Social Learning on Networks: Evidence from a Lab Experiment in the Field , 2015 .

[14]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[15]  Yann Bramoullé,et al.  Anti-coordination and social interactions , 2007, Games Econ. Behav..

[16]  Dunia López-Pintado Network Formation, Cost-Sharing and Anti-Coordination , 2009, IGTR.

[17]  Michel Grabisch,et al.  A model of influence in a social network , 2010 .

[18]  John G. Kemeny,et al.  Finite Markov chains , 1960 .

[19]  Evan Sadler,et al.  Learning in Social Networks , 2016 .

[20]  Antoine Mandel,et al.  Agent-based dynamics in disaggregated growth models , 2010 .

[21]  P. DeMarzo,et al.  Persuasion Bias, Social Influence, and Uni-Dimensional Opinions , 2001 .

[22]  M. Degroot Reaching a Consensus , 1974 .

[23]  Michel Grabisch,et al.  A model of influence based on aggregation functions , 2013, Math. Soc. Sci..

[24]  K. Sznajd-Weron,et al.  Anticonformity or Independence?—Insights from Statistical Physics , 2013 .

[25]  S. Galam Contrarian deterministic effects on opinion dynamics: “the hung elections scenario” , 2003, cond-mat/0307404.

[26]  Michel Grabisch,et al.  Strategic Influence in Social Networks , 2017, Math. Oper. Res..

[27]  Berno Büchel,et al.  Opinion Dynamics and Wisdom under Conformity , 2014 .

[28]  A. Banerjee,et al.  A Simple Model of Herd Behavior , 1992 .

[29]  Michel Grabisch,et al.  Anonymous Social Influence , 2013, Games Econ. Behav..

[30]  Zhigang Cao,et al.  Fashion, Cooperation, and Social Interactions , 2012, PloS one.

[31]  Charles A. Holt,et al.  Information Cascades in the Laboratory , 1998 .

[32]  M. Breton,et al.  Equilibria in a Model with Partial Rivalry , 1997 .

[33]  Stefan Klößner,et al.  Opinion dynamics and wisdom under conformity , 2015 .

[34]  Berno Buechel,et al.  The dynamics of continuous cultural traits in social networks , 2014, J. Econ. Theory.