Robust multiculturality emerges from layered social influence

Why is our society multicultural? Based on the two mechanisms of homophily and social influence, the classical model for the dissemination of cultures proposed by Axelrod predicts the existence of a fragmented regime where different cultures can coexist in a social network. However, in such model the multicultural regime is achievable only when a high number of cultural traits is present, and is not robust against cultural drift, i.e. the spontaneous mutations of agents' traits. In real systems, social influence is inherently organised in layers, meaning that individuals tend to diversify their connections according to the topic on which they interact. In this work we show that the observed persistence of multiculturality in real-world social systems is a natural consequence of the layered organisation of social influence. We find that the critical number of cultural traits that separates the monocultural and the multicultural regimes depends on the redundancy of pairwise connections across layers. Surprisingly, for low values of structural redundancy the system is always in a multicultural state, independently on the number of traits, and is robust to the presence of cultural drift. Moreover, we show that layered social influence allows the coexistence of different levels of consensus on different topics. The insight obtained from simulations on synthetic graphs are confirmed by the analysis of two real-world social networks, where the multicultural regime persists even for a very small number of cultural traits, suggesting that the layered organisation of social interactions might indeed be at the heart of multicultural societies.

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

[2]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[3]  L. Festinger Social pressures in informal groups : a study of human factors in housing / by Leon Festinger, Stanley Schachter and Kurt Back , 1950 .

[4]  V. Eguíluz,et al.  Globalization, polarization and cultural drift , 2005 .

[5]  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.

[6]  M. G. Cosenza,et al.  Localized coherence in two interacting populations of social agents , 2013, 1309.5998.

[7]  Andreas Flache,et al.  What sustains cultural diversity and what undermines it? Axelrod and beyond , 2006 .

[8]  S. Fortunato,et al.  Statistical physics of social dynamics , 2007, 0710.3256.

[9]  Mark S. Granovetter Threshold Models of Collective Behavior 1 , 2008 .

[10]  Vito Latora,et al.  Interplay between consensus and coherence in a model of interacting opinions , 2015, ArXiv.

[11]  Z. Wang,et al.  The structure and dynamics of multilayer networks , 2014, Physics Reports.

[12]  K. Showalter,et al.  Chimera and phase-cluster states in populations of coupled chemical oscillators , 2012, Nature Physics.

[13]  Andreas Flache,et al.  Cultural Integration and Differentiation in Groups and Organizations , 2014, Perspectives on Culture and Agent-based Simulations.

[14]  B. Weitz Hosted By , 2003 .

[15]  M. Macy,et al.  Local Convergence and Global Diversity , 2008, 0808.2710.

[16]  M. Macy,et al.  Small Worlds and Cultural Polarization , 2011 .

[17]  Yoshihisa Kashima,et al.  Ultrametric distribution of culture vectors in an extended Axelrod model of cultural dissemination , 2014, Scientific Reports.

[18]  Vito Latora,et al.  Measuring and modelling correlations in multiplex networks , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

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

[21]  Damon Centola,et al.  The Spread of Behavior in an Online Social Network Experiment , 2010, Science.

[22]  Sentiments and Activities. Essays in Social Science , 1963 .

[23]  Vito Latora,et al.  Structural measures for multiplex networks. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  Luca Valori,et al.  Reconciling long-term cultural diversity and short-term collective social behavior , 2011, Proceedings of the National Academy of Sciences.

[25]  Sabrina Kruger,et al.  The Origin And Evolution Of Cultures , 2016 .

[26]  Stefan Grosskinsky Warwick,et al.  Interacting Particle Systems , 2016 .

[27]  Raúl Toral,et al.  Global Culture: A Noise Induced Transition in Finite Systems , 2003 .

[28]  Jstor The journal of conflict resolution , 1957 .

[29]  Duncan J Watts,et al.  A simple model of global cascades on random networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Vito Latora,et al.  Emergence of Multiplex Communities in Collaboration Networks , 2015, PloS one.

[31]  Mason A. Porter,et al.  Multilayer networks , 2013, J. Complex Networks.

[32]  G. Bianconi Statistical mechanics of multiplex networks: entropy and overlap. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  Alexandre Arenas,et al.  Identifying modular flows on multilayer networks reveals highly overlapping organization in social systems , 2014, ArXiv.

[34]  Maxi San Miguel,et al.  Irreducibility of multilayer network dynamics: the case of the voter model , 2015, ArXiv.

[35]  L. Festinger,et al.  Social pressures in informal groups , 1950 .

[36]  Spain,et al.  Cascade Dynamics of Complex Propagation , 2005, physics/0504165.

[37]  Michael Szell,et al.  Multirelational organization of large-scale social networks in an online world , 2010, Proceedings of the National Academy of Sciences.

[38]  Maxi San Miguel,et al.  Dynamical origins of the community structure of multi-layer societies , 2016, ArXiv.

[39]  L. Smith-Lovin,et al.  Homophily in voluntary organizations: Status distance and the composition of face-to-face groups. , 1987 .

[40]  S. Strogatz,et al.  Chimera states for coupled oscillators. , 2004, Physical review letters.

[41]  Gerard Weisbuch Bounded confidence and social networks , 2004 .