Rise of an alternative majority against opinion leaders

We investigate the role of opinion leaders or influentials in the collective behavior of a social system. Opinion leaders are characterized by their unidirectional influence on other agents. We employ a model based on Axelrod’s dynamics for cultural interaction among social agents that allows for non-interacting states. We find three collective phases in the space of parameters of the system, given by the fraction of opinion leaders and a quantity representing the number of available states: one ordered phase having the state imposed by the leaders; another nontrivial ordered phase consisting of a majority group in a state orthogonal or alternative to that of the opinion leaders, and a disordered phase, where many small groups coexist. We show that the spontaneous rise of an alternative group in the presence of opinion leaders depends on the existence of a minimum number of long-range connections in the underlying network. This phenomenon challenges the common idea that influentials are fundamental to propagation processes in society, such as the formation of public opinion.

[1]  Marsili,et al.  Nonequilibrium phase transition in a model for social influence , 2000, Physical review letters.

[2]  Gabriel Weimann,et al.  THE INFLUENTIALS: BACK TO THE CONCEPT OF OPINION LEADERS? , 1991 .

[3]  Thomas W. Valente Network models of the diffusion of innovations , 1996, Comput. Math. Organ. Theory.

[4]  Albert-László Barabási,et al.  Error and attack tolerance of complex networks , 2000, Nature.

[5]  Lev Muchnik,et al.  Identifying influential spreaders in complex networks , 2010, 1001.5285.

[6]  S. Redner,et al.  Non-monotonicity and divergent time scale in Axelrod model dynamics , 2007 .

[7]  Yamir Moreno,et al.  Emergence of Influential Spreaders in Modified Rumor Models , 2012, Journal of Statistical Physics.

[8]  Guillaume Deffuant,et al.  Meet, discuss, and segregate! , 2002, Complex..

[9]  Jeff Shrager,et al.  Observation of Phase Transitions in Spreading Activation Networks , 1987, Science.

[10]  Alexander S. Mikhailov,et al.  From Cells to Societies: Models of Complex Coherent Action. Authorized translation from the English edition published by Springer-Verlag , 2006 .

[11]  E. Rogers Diffusion of Innovations , 1962 .

[12]  R. Axelrod The Dissemination of Culture , 1997 .

[13]  M. G. Cosenza,et al.  Nonequilibrium transition induced by mass media in a model for social influence. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  R. Merton Social Theory and Social Structure , 1958 .

[15]  P. E. Kopp,et al.  Superspreading and the effect of individual variation on disease emergence , 2005, Nature.

[16]  Kevin S. Chan,et al.  The impact of competing zealots on opinion dynamics , 2014 .

[17]  Tobias Galla,et al.  Effects of noise and confidence thresholds in nominal and metric Axelrod dynamics of social influence. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Christine H. Roch The Dual Roots of Opinion Leadership , 2005 .

[19]  M. G. Cosenza,et al.  Spontaneous ordering against an external field in non-equilibrium systems , 2008, 0811.2726.

[20]  R. May,et al.  Infectious Diseases of Humans: Dynamics and Control , 1991, Annals of Internal Medicine.

[21]  Boleslaw K. Szymanski,et al.  Social consensus through the influence of committed minorities , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Ma. Luisa Rodríguez Sala de Gómezgil American Journal of Sociology. Vol. 72, núm. 3, noviembre 1966 , 1967 .

[23]  Boleslaw K. Szymanski,et al.  Social Influencing and Associated Random Walk Models: Asymptotic Consensus Times on the Complete Graph , 2011, Chaos.

[24]  Miss A.O. Penney (b) , 1974, The New Yale Book of Quotations.

[25]  Mark S. Granovetter Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[26]  Raúl Toral,et al.  Global culture: a noise-induced transition in finite systems. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[28]  D. Meadows-Klue The Tipping Point: How Little Things Can Make a Big Difference , 2004 .

[29]  S. Havlin,et al.  Breakdown of the internet under intentional attack. , 2000, Physical review letters.

[30]  S. Galam,et al.  The role of inflexible minorities in the breaking of democratic opinion dynamics , 2007, physics/0703021.

[31]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[32]  W. E. Lingulbach,et al.  Annals of the American Academy of Political and Social Science , 1900 .

[33]  D. Watts,et al.  Influentials, Networks, and Public Opinion Formation , 2007 .

[34]  M N Kuperman Cultural propagation on social networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  Guillaume Deffuant,et al.  Mixing beliefs among interacting agents , 2000, Adv. Complex Syst..

[36]  Y Moreno,et al.  Selective advantage of tolerant cultural traits in the Axelrod-Schelling model. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.