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Cited by 603Opinion Dynamics and Social InfluenceComplex Network Analysis TechniquesMulti-Agent Systems and Negotiation

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Models of Social Influence: Towards the Next Frontiers

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Flache, Andreas, Mäs, Michael, Feliciani, Thomas, Chattoe-Brown, Edmund, Deffuant, Guillaume, Huet, Sylvie, Lorenz, Jan·2017·Journal of Artificial Societies and Social Simulation
DOI 10.18564/jasss.3521
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Abstract

In, Robert Axelrod wondered in a highly influential paper "If people tend to become more alike in their beliefs, attitudes, and behavior when they interact, why do not all such differences eventually disappear?"Axelrod's question highlighted an ongoing quest for formal theoretical answers joined by researchers from a wide range of disciplines.Numerous models have been developed to understand why and under what conditions diversity in beliefs, attitudes and behavior can co-exist with the fact that very o en in interactions, social influence reduces differences between people.Reviewing three prominent approaches, we discuss the theoretical ingredients that researchers added to classic models of social influence as well as their implications.Then, we propose two main frontiers for future research.First, there is urgent need for more theoretical work comparing, relating and integrating alternative models.Second, the field suffers from a strong imbalance between a proliferation of theoretical studies and a dearth of empirical work.More empirical work is needed testing and underpinning micro-level assumptions about social influence as well as macro-level predictions.In conclusion, we discuss major roadblocks that need to be overcome to achieve progress on each frontier.We also propose that a new generation of empirically-based computational social influence models can make unique contributions for understanding key societal challenges, like the possible effects of social media on societal polarization.

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  1. Abelson, R. P. ( ). Mathematical models of the distribution of attitudes under controversy. In N. Frederiksen & H. Gulliksen (Eds.), Contributions to Mathematical Psychology, (pp. -). New York, NY: Holt, Rinehart, and Winston
  2. Abramowitz, A. I. & Saunders, K. L. ( ). Is polarization a myth? The Journal of Politics, ( ), -
  3. Bohner, G. & Dickel, N. ( ). Attitudes and attitude change. Annual Review of Psychology, ( ), - Bonacich, P. & Lu, P. ( ). Introduction to Mathematical Sociology. Princeton, NJ: Princeton University Press
  4. Brewer, M. B. ( ). The social self: On being the same and different at the same time. Personality and Social Psychology Bulletin, ( ), - Brousmiche, K.-L., Kant, J.-D., Sabouret, N. & Prenot-Guinard, F. ( ). From beliefs to attitudes: Polias, a model of attitude dynamics based on cognitive modeling and field data. Journal of Artificial Societies and Social Simulation, ( ),
  5. Centola, D., González-Avella, J. C., Eguíluz, V. & San Miguel, M. ( ). Homophily, cultural dri , and the co- evolution of cultural groups. Journal of Conflict Resolution, ( ), - Chacoma, A. & Zanette, D. H. ( ). Opinion formation by social influence: from experiments to modeling. PLoS ONE, ( ), e
  6. Deffuant, G., Huet, S. & Amblard, F. ( ). An individual-based model of innovation diffusion mixing social value and individual benefit. American Journal of Sociology, ( ), - Deffuant, G., Neau, D., Amblard, F. & Weisbuch, G. ( ). Mixing beliefs among interacting agents. Advances in Complex Systems, ( n ), - Deffuant, G., Skerrat, S. & Huet, S. ( ). An agent based model of agri-environmental measure diffusion: What for? In A. Lopez Paredes & C. Hernandez Iglesias (Eds.), Agent Based Modelling in Natural Resource Management, (pp. -). Valladolid: INSISOC
  7. DeGroot, M. H. ( ). Reaching a consensus. Journal of the American Statistical Association, ( ), - Del Vicario, M., Scala, A., Caldarelli, G., Stanley, H. E. & Quattrociocchi, W. ( ). Modeling confirmation bias and polarization. Scientific Reports, , DellaPosta, D., Shi, Y. & Macy, M. ( ). Why do liberals drink lattes? American Journal of Sociology, ( ), - JASSS, ( ) , http://jasss.soc.surrey.ac.uk/ / / .html Doi: . /jasss.
  8. Eagly, A. H. & Chaiken, S. ( b). Process theories of attitude formation and change: Attribution approaches and social judgment theory. In A. H. Eagly & S. Chaike (Eds.), The Psychology of Attitudes, (pp. - ). Worth, TX: Thomson/
  9. Elias, N. ( ). The Civilizing Process: The History of Manners. Oxford: Blackwell
  10. Evans, J. H. ( ). Have Americans' attitudes become more polarized? -An update. Social Science Quarterly, ( ), -
  11. Feld, S. L. ( ). Social structural determinants of similarity among associates. American Sociological Review, ( ), - Feldman, K. A. & Newcomb, T. M. ( ). The Impact of College on Students. San Francisco, CA: Jossey-Bass
  12. Fiorina, M. P. & Abrams, S. J. ( ). Political polarization in the American public. Annual Review of Political Science, , -
  13. Fortunato, S. ( ). On the consensus threshold for the opinion dynamics of Krause-Hegselmann. Interna- tional Journal of Modern Physics C, ( ), - French, J. R. ( ). A formal theory of social power. Psychological Review, ( ), -
  14. Friedkin, N. E. ( ). Social networks in structural equation models. Social Psychology Quarterly, ( ), - Friedkin, N. E. & Johnsen, E. C. ( ). Social influence and opinions. Journal of Mathematical Sociology, ( -), - Friedkin, N. E. & Johnsen, E. C. ( ). Social Influence Network Theory: A Sociological Examination of Small Group Dynamics. Cambridge: Cambridge University Press
  15. Galam, S. ( ). Minority opinion spreading in random geometry. The European Physical Journal B-Condensed Matter and Complex Systems, ( ), - Galam, S. ( ). Contrarian deterministic effects on opinion dynamics: "The hung elections scenario". Physica A: Statistical Mechanics and its Applications, , - Gargiulo, F. & Huet, S. ( ). New discussions challenge the organization of societies. Advances in Complex Systems, ( ),
  16. González-Avella, J. C., Cosenza, M. G., Klemm, K., Eguíluz, V. M. & San Miguel, M. ( ). Information feedback and mass media effects in cultural dynamics. Journal of Artificial Societies and Social Simulation, ( ),
  17. Greig, J. M. ( ). The end of geography? Globalization, communications, and culture in the international system. Journal of Conflict Resolution, ( ), -
  18. Hedström, P. & Ylikoski, P. ( ). Causal mechanisms in the social sciences. Annual Review of Sociology, ( ), - Hegselmann, R. & Krause, U. ( ). Opinion dynamics and bounded confidence models, analysis, and simula- tion. Journal of Artificial Societies and Social Simulation, ( ),
  19. Heider, F. ( ). Attitudes and cognitive organization. In M. Fishbein (Ed.), Readings in Attitude Theory and Measurement, (pp. -). New York, NY: Wiley
  20. Hovland, C. I., Harvey, O. J. & Sherif, M. ( ). Assimilation and contrast effects in reactions to communication and attitude change. Journal of Abnormal and Social Psychology, ( ),
  21. Kurahashi-Nakamura, T., Mäs, M. & Lorenz, J. ( ). Robust clustering in generalized bounded confidence models. Journal of Artificial Societies and Social Simulation, ( ),
  22. In M. Berger, T. Abel & C. H. Page (Eds.), Freedom and control in modern society, (pp. -). New York, NY: Van
  23. Liggett, T. ( ). Interacting Particle Systems. Berlin/Heidelberg: Springer
  24. Lorenz, J. ( ). Continuous opinion dynamics under bounded confidence: A survey. International Journal of Modern Physics C, ( ), - Lorenz, J. ( ). Fostering consensus in multidimensional continuous opinion dynamics under bounded con- fidence. In Managing Complexity: Insights, Concepts, Applications, (pp. -). Berlin/Heidelberg: Springer
  25. Lorenz, J. ( ). Heterogeneous bounds of confidence: Meet, discuss and find consensus! Complexity, ( ), - Lorenz, J. ( ). Modeling the evolution of ideological landscapes through opinion dynamics. In W. Jager, R. Verbrugge, A. Flache, G. de Roo, L. Hoogduin & C. Hemelrijk (Eds.), Advances in Social Simulation , (pp. - ). Cham: Springer
  26. In P. Hedström & P. Bearman (Eds.), The Oxford Handbook of Analytical Sociology, (pp. - ). Oxford: Oxford University Press
  27. Macy, M. W., Kitts, J. A., Flache, A. & Benard, S. ( ). Polarization in dynamic networks: A Hopfield model of emergent structure. In R. Breiger, K. Carley & P. Pattison (Eds.), Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers, (pp. -). The National Academies Press
  28. Mark, N. ( ). Beyond individual differences: Social differentiation from first principles. American Sociological Review, ( ), -
  29. Mäs, M. & Bischofberger, L. ( ). Will the personalization of online social networks foster opinion polarization? Paper presented at Lorenz Workshop on Socio-Economic Complexity, Lorenz Center, Leiden, The Nether- lands. Available at SSRN: https://ssrn.com/abstract=2553436
  30. In V. Dignum & F. Dignum (Eds.), Perspectives on Culture and Agent-based Simulations, (pp. -). Cham: Springer
  31. Mäs, M., Flache, A., Takács, K. & Jehn, K. A. ( ). In the short term we divide, in the long term we unite: Demographic crisscrossing and the effects of faultlines on subgroup polarization. Organization Science, ( ), - Mason, W. A., Conrey, F. R. & Smith, E. R. ( ). Situating social influence processes: Dynamic, multidirectional flows of influence within social networks. Personality and Social Psychology Review, ( ), -
  32. Mathias, J.-D., Huet, S. & Deffuant, G. ( ). Bounded confidence model with fixed uncertainties and extremists: The opinions can keep fluctuating indefinitely. Journal of Artificial Societies and Social Simulation, ( ),
  33. Myers, D. G. ( ). Polarizing effects of social interaction. Journal of Experimental Social Psychology, ( ), - Myers, D. G. ( ). Polarizing effects of social interaction. In Group Decision Making, (pp. -). New York, NY: Academic Press
  34. Nickerson, R. S. ( ). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psy- chology, ( ), -
  35. Parisi, D., Cecconi, F. & Natale, F. ( ). Cultural change in spatial environments: The role of cultural assimila- tion and internal changes in cultures. Journal of Conflict Resolution, ( ), - Pearson, M., Steglich, C. E. G. & Snijders, T. A. B. ( ). Homophily and assimilation among sport-active ado- lescent substance users. Connections, ( ), -
  36. Sherif, M. & Hovland, C. I. ( ). Social Judgment: Assimilation and Contrast Effects in Communication and Attitude Change. New Haven, CT: Yale University Press
  37. Sherif, M. & Sherif, C. W. ( ). Research on intergroup relations. In W. G. Austin & S. Worchel (Eds.), The Social Psychology of Intergroup Relations, (pp. -). Monterey, CA: Brooks/Cole
  38. Shibanai, Y., Yasuno, S. & Ishiguro, I. ( ). Effects of global information feedback on diversity: Extensions to axelrod's adaptive culture model. Journal of Conflict Resolution, ( ), -
  39. Shin, J. K. & Lorenz, J. ( ). Tipping diffusivity in information accumulation systems: More links, less consen- sus. Journal of Statistical Mechanics: Theory and Experiment, ( ), P Snijders, T. A. B. ( ). Statistical models for social networks. Annual Review of Sociology, , -
  40. Snyder, C. R. & Fromkin, H. L. ( ). Uniqueness: The Human Pursuit of Difference. Boston, MA: Springer
  41. Stauffer, D. & Meyer-Ortmanns, H. ( ). Simulation of consensus model of Deffuant et al. on a Barabási-Albert network. International Journal of Modern Physics C, ( ), - Steglich, C. E. G., Snijders, T. A. B. & Pearson, M. ( ). Dynamic networks and behavior: Separating selection from influence. Sociological Methodology, ( ), -
  42. Urbig, D., Lorenz, J. & Herzberg, H. ( ). Opinion dynamics: The effect of the number of peers met at once. Journal of Artificial Societies and Social Simulation, ( ),
  43. Urbig, D. & Malitz, R. ( ). Dri ing to more extreme but balanced attitudes: Multidimensional attitudes and selective exposure. Paper presented at Fourth Conference of the European Social Simulation Association, Toulouse, France
  44. Valente, T. ( ). Network Models of the Diffusion of Innovations. Cresskill, NJ: Hampton Press

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Authors
Flache, A., Mäs, M., Feliciani, T., Chattoe-Brown, E., Deffuant, G., Huet, S., & Lorenz, J.
Affiliations
  • University of Groningen (NL)
  • Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
  • Constructor University (DE)
ORCID
Venue
Journal of Artificial Societies and Social Simulation
Publisher
Journal of Artificial Societies and Social Simulation
Published
2017
Volume
20
Issue
4
Pages
31
ISSN
1460-7425 (ISSN-L)
DOI
10.18564/jasss.3521
OpenAlex
W2765195368
Cited by
601
References
69
Citations by year
2026: 57 · 2025: 84 · 2024: 77 · 2023: 81 · 2022: 59 · 2021: 112 · 2020: 53 · 2019: 47 · 2018: 25 · 2017: 1
FWCI
17.83
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Artificial Societies and Social Simulation (publishedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Figshare (submittedVersion)
  • Cemadoc (Cemagref / IRSTEA) (submittedVersion)
  • Leicester Research Archive (University of Leicester) (submittedVersion, other-oa)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
Funders
  • Deutsche Forschungsgemeinschaft
  • Rijksuniversiteit Groningen
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
Keywords
social influence, Axelrod model, model integration, social media, social polarization, agent-based modeling

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