Consensus emerging from the bottom-up: the role of cognitive variables in opinion dynamics

The study of opinions − e.g., their formation and change, and their effects on our society − by means of theoretical and numerical models has been one of the main goals of sociophysics until now, but it is one of the defining topics addressed by social psychology and complexity science. Despite the flourishing of different models and theories, several key questions still remain unanswered. The aim of this paper is to provide a cognitively grounded computational model of opinions in which they are described as mental representations and defined in terms of distinctive mental features. We also define how these representations change dynamically through different processes, describing the interplay between mental and social dynamics of opinions. We present two versions of the model, one with discrete opinions (voter model-like), and one with continuous ones (Deffuant-like). By means of numerical simulations, we compare the behaviour of our cognitive model with the classical sociophysical models, and we identify interesting differences in the dynamics of consensus for each of the models considered.

[1]  S. Fiske,et al.  The Handbook of Social Psychology , 1935 .

[2]  E. Miller.  Handbook of Social Psychology , 1946, Mental Health.

[3]  H. Kelman.  Compliance, identification, and internalization three processes of attitude change , 1958 .

[4]  H. Kelman.  PROCESSES OF OPINION CHANGE , 1961 .

[5]  Martin Fishbein,et al.  Readings in attitude theory and measurement , 1968 .

[6]  P. Clifford,et al.  A model for spatial conflict , 1973 .

[7]  R. Holley,et al.  Ergodic Theorems for Weakly Interacting Infinite Systems and the Voter Model , 1975 .

[8]  S. Moscovici,et al.  Social Influence And Social Change , 1976 .

[9]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[10]  B. Latané.  The psychology of social impact. , 1981 .

[11]  F. Y. Wu.  The Potts model , 1982 .

[12]  W. Mcguire.  The vicissitudes of attitudes and similar representational constructs in twentieth century psychology , 1986 .

[13]  B. Latané,et al.  From private attitude to public opinion: A dynamic theory of social impact. , 1990 .

[14]  Seymour Sudman,et al.  Answering Questions: Methodology for Determining Cognitive and Communicative Processes in Survey Research , 1995 .

[15]  Howard G Lavine,et al.  A Cognitive‐Social Theory of Public Opinion Dynamic Social Impact and Cognitive Structure , 1996 .

[16]  I. Crespi.  The public opinion process , 1997 .

[17]  Martin F. Davies,et al.  Belief Persistence after Evidential Discrediting: The Impact of Generated versus Provided Explanations on the Likelihood of Discredited Outcomes , 1997 .

[18]  Duane T. Wegener,et al.  Attitudes and attitude change. , 1997, Annual review of psychology.

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

[20]  Bryan E. Denham.  The Public Opinion Process: How the People Speak , 1998 .

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

[22]  Rainer Hegselmann,et al.  Opinion dynamics and bounded confidence: models, analysis and simulation , 2002, J. Artif. Soc. Soc. Simul..

[23]  S. Galam.  Minority opinion spreading in random geometry , 2002, cond-mat/0203553.

[24]  F. Slanina,et al.  Analytical results for the Sznajd model of opinion formation , 2003, cond-mat/0305102.

[25]  M. Mobilia.  Does a single zealot affect an infinite group of voters? , 2003, Physical review letters.

[26]  Guillaume Deffuant,et al.  Interacting Agents and Continuous Opinions Dynamics , 2001, cond-mat/0111494.

[27]  Claudio Castellano,et al.  Incomplete ordering of the voter model on small-world networks , 2003 .

[28]  Daniele Vilone,et al.  Solution of voter model dynamics on annealed small-world networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  M. Mobilia,et al.  Voting and catalytic processes with inhomogeneities. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  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.

[31]  V. Eguíluz,et al.  Conservation laws for the voter model in complex networks , 2004, cond-mat/0408101.

[32]  Franco Bagnoli,et al.  Dynamical affinity in opinion dynamics modeling. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  S. Redner,et al.  On the role of zealotry in the voter model , 2007 .

[34]  Eliot R. Smith,et al.  Situating Social Influence Processes: Dynamic, Multidirectional Flows of Influence Within Social Networks , 2007, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[35]  S. Redner,et al.  Voter models on heterogeneous networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  Serge Galam,et al.  SOCIOPHYSICS: A REVIEW OF GALAM MODELS , 2008, 0803.1800.

[37]  A. Pentland,et al.  Computational Social Science , 2009, Science.

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

[39]  A. Pentland,et al.  Life in the network: The coming age of computational social science: Science , 2009 .

[40]  Dirk Helbing,et al.  Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes , 2010 .

[41]  Walter Quattrociocchi,et al.  Understanding opinions. A cognitive and formal account , 2011, ArXiv.

[42]  Bruce Edmonds,et al.  Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes by Dirk Helbing , 2012, J. Artif. Soc. Soc. Simul..

[43]  Timothy J. Wood,et al.  Exploring the role of first impressions in rater-based assessments , 2014, Advances in health sciences education : theory and practice.

[44]  Timothy J. Wood,et al.  Is it time to move beyond errors in clinical reasoning and discuss accuracy? , 2014, Advances in Health Sciences Education.

[45]  Bikas K. Chakrabarti,et al.  Sociophysics: An Introduction , 2014 .

[46]  Christian Fleck.  Attitude: History of Concept , 2015 .