How Peer Pressure Shapes Consensus, Leadership, and Innovations in Social Groups

What is the effect of the combined direct and indirect social influences—peer pressure (PP)—on a social group's collective decisions? We present a model that captures PP as a function of the socio-cultural distance between individuals in a social group. Using this model and empirical data from 15 real-world social networks we found that the PP level determines how fast a social group reaches consensus. More importantly, the levels of PP determine the leaders who can achieve full control of their social groups. PP can overcome barriers imposed upon a consensus by the existence of tightly connected communities with local leaders or the existence of leaders with poor cohesiveness of opinions. A moderate level of PP is also necessary to explain the rate at which innovations diffuse through a variety of social groups.

[1]  Ernesto Estrada,et al.  The Structure of Complex Networks: Theory and Applications , 2011 .

[2]  Jerker Denrell,et al.  Indirect Social Influence , 2008, Science.

[3]  Tony White,et al.  The Structure of Complex Networks , 2011 .

[4]  H. Roche,et al.  Why Copy Others? Insights from the Social Learning Strategies Tournament , 2010 .

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

[6]  Albert-László Barabási,et al.  Effect of correlations on network controllability , 2012, Scientific Reports.

[7]  I. Couzin,et al.  Consensus decision making in human crowds , 2008, Animal Behaviour.

[8]  Guy Cowlishaw,et al.  Leaders, followers, and group decision-making , 2009, Communicative & integrative biology.

[9]  Vladimir Batagelj,et al.  Exploratory Social Network Analysis with Pajek , 2005 .

[10]  Andrew T. Hartnett,et al.  This PDF file includes: Materials and Methods SOM Text Figs. S1 to S12 Table S1 Full Reference List , 2022 .

[11]  Yves Zenou,et al.  Peer Effects and Social Networks in Education , 2008 .

[12]  Gábor Szabó,et al.  Structure of complex networks , 2005 .

[13]  F. Radicchi,et al.  Benchmark graphs for testing community detection algorithms. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Albert-László Barabási,et al.  Controllability of complex networks , 2011, Nature.

[15]  Sinan Aral,et al.  Identifying Influential and Susceptible Members of Social Networks , 2012, Science.

[16]  David Ansic,et al.  Gender differences in risk behaviour in financial decision-making: An experimental analysis. , 1997 .

[17]  S. Battiston,et al.  The power to control , 2013, Nature Physics.

[18]  Reza Olfati-Saber,et al.  Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.

[19]  Maxi San Miguel,et al.  Social and strategic imitation: the way to consensus , 2012, Scientific Reports.

[20]  T. Valente Social network thresholds in the diffusion of innovations , 1996 .

[21]  J. Allen,et al.  Leaders and followers in adolescent close friendships: Susceptibility to peer influence as a predictor of risky behavior, friendship instability, and depression , 2006, Development and Psychopathology.

[22]  D. Helbing,et al.  Leadership, consensus decision making and collective behaviour in humans , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[23]  E. Rogers Diffusion of Innovations: An Overview , 1981 .

[24]  Vito Latora,et al.  Controlling centrality in complex networks , 2011, Scientific Reports.

[25]  Andrew J. King,et al.  Follow me! I’m a leader if you do; I’m a failed initiator if you don’t? , 2010, Behavioural Processes.

[26]  J. Goldenberg,et al.  The Role of Hubs in the Adoption Process , 2009 .

[27]  Magnus Egerstedt,et al.  Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective , 2009, SIAM J. Control. Optim..

[28]  Magnus Egerstedt,et al.  Rendezvous with multiple, intermittent leaders , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[29]  Joseph P. Forgas,et al.  Social Influence: Direct and Indirect Processes , 2001 .

[30]  V. Eguíluz,et al.  Cooperation and the Emergence of Role Differentiation in the Dynamics of Social Networks1 , 2005, American Journal of Sociology.

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

[32]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[33]  Randal W. Beard,et al.  Distributed Consensus in Multi-vehicle Cooperative Control - Theory and Applications , 2007, Communications and Control Engineering.

[34]  T. Valente Network Interventions , 2012, Science.

[35]  Ernesto Estrada Path Laplacian matrices: Introduction and application to the analysis of consensus in networks , 2012 .

[36]  J. Deneubourg,et al.  From Social Network (Centralized vs. Decentralized) to Collective Decision-Making (Unshared vs. Shared Consensus) , 2012, PloS one.

[37]  Ernesto Estrada,et al.  Epidemic spreading in networks with nonrandom long-range interactions. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  Alessandro Lomi,et al.  Why Are Some More Peer Than Others? Evidence from a Longitudinal Study of Social Networks and Individual Academic Performance. , 2011, Social science research.

[39]  I. Couzin,et al.  Effective leadership and decision-making in animal groups on the move , 2005, Nature.