Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks
This article investigates the Multiple Equilibria Regulation (MER) model, i.e., an agent-based simulation model, to represent opinion dynamics in social networks. It relies on a small set of micro-prerequisites (intra-individual balance and confidence bound), leading to emergence of (non)stationary macro-outcomes. These outcomes may refer to consensus, polarization or fragmentation of opinions about taxation (e.g., congestion pricing) or other policy measures, according to the way communication is structured. In contrast with other models of opinion dynamics, it allows for the impact of both the regulation of intra-personal discrepancy and the interpersonal variability of opinions on social learning and network dynamics. Several simulation experiments are presented to demonstrate, through the MER model, the role of different network structures (complete, star, cellular automata, small-world and random graphs) on opinion formation dynamics and the overall evolution of the system. The findings can help to identify specific topological characteristics, such as density, number of neighbourhoods and critical nodes-agents, that affect the stability and system dynamics. This knowledge can be used to better organize the information diffusion and learning in the community, enhance the predictability of outcomes and manage possible conflicts. It is shown that a small-world organization, which depicts more realistic aspects of real-life and virtual social systems, provides increased predictability and stability towards a less fragmented and more manageable grouping of opinions, compared to random networks. Such macro-level organizations may be enhanced with use of web-based technologies to increase the density of communication and public acceptability of policy measures.
Volume (Year): 11 (2013)
Issue (Month): 1 ()
|Contact details of provider:|| |
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- McFadden, Daniel, 2007. "The behavioral science of transportation," Transport Policy, Elsevier, vol. 14(4), pages 269-274, July.
- Ioannis D Katerelos & Andreas G. Koulouris, 2004. "Seeking Equilibrium Leads to Chaos: Multiple Equilibria Regulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(2), pages 4.
- Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003.
"Persuasion Bias, Social Influence, and Unidimensional Opinions,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 118(3), pages 909-968.
- Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion bias, social influence, and uni-dimensional opinions," LSE Research Online Documents on Economics 454, London School of Economics and Political Science, LSE Library.
- Zwiebel, Jeffrey H. & Vayanos, Dimitri & DeMarzo, Peter M., 2001. "Persuasion Bias, Social Influence, and Uni-Dimensional Opinions," Research Papers 1719, Stanford University, Graduate School of Business.
- Shuguang Suo & Yu Chen, 2008. "The Dynamics of Public Opinion in Complex Networks," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(4), pages 2.
- Andrea Galeotti, 2010. "Talking, Searching, And Pricing," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(4), pages 1159-1174, November.
- Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, 2009.
"Economic Networks: What Do We Know And What Do We Need To Know?,"
Advances in Complex Systems (ACS),
World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 407-422.
- Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, . "Economic Networks: What do we know and what do we need to know?," Working Papers CCSS-09-010, ETH Zurich, Chair of Systems Design.
- Eliasson, Jonas & Jonsson, Lina, 2011. "The unexpected "yes": Explanatory factors behind the positive attitudes to congestion charges in Stockholm," Transport Policy, Elsevier, vol. 18(4), pages 636-647, August.
- Hayashi Fumiko & Klee Elizabeth, 2003.
"Technology Adoption and Consumer Payments: Evidence from Survey Data,"
Review of Network Economics,
De Gruyter, vol. 2(2), pages 1-16, June.
- Fumiko Hayashi & Elizabeth C. Klee, 2002. "Technology adoption and consumer payments : evidence from survey data," Payments System Research Working Paper PSR WP 02-01, Federal Reserve Bank of Kansas City.
- Helbing, Dirk, 2009. "Managing Complexity in Socio-Economic Systems," European Review, Cambridge University Press, vol. 17(02), pages 423-438, May.
- Daron Acemoglu & Asuman Ozdaglar, 2011.
"Opinion Dynamics and Learning in Social Networks,"
Dynamic Games and Applications,
Springer, vol. 1(1), pages 3-49, March.
- Galeotti, Andrea & Goyal, Sanjeev & Kamphorst, Jurjen, 2006. "Network formation with heterogeneous players," Games and Economic Behavior, Elsevier, vol. 54(2), pages 353-372, February.
- Björn Hårsman & John M. Quigley, 2010. "Political and public acceptability of congestion pricing: Ideology and self-interest," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 854-874.
- Andreas Flache & Rainer Hegselmann, 1998. "Understanding Complex Social Dynamics: a Plea for Cellular Automata Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1.
- Andrea Galeotti & Fernando Vega‐Redondo, 2011. "Complex networks and local externalities: A strategic approach," International Journal of Economic Theory, The International Society for Economic Theory, vol. 7(1), pages 77-92, 03.
- Caldarelli, Guido, 2007. "Scale-Free Networks: Complex Webs in Nature and Technology," OUP Catalogue, Oxford University Press, number 9780199211517, July.
- Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 2.
- C. J. Tessone & R. Toral, 2009. "Diversity-induced resonance in a model for opinion formation," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 71(4), pages 549-555, October.
- Theodore Tsekeris & Stefan Voß, 2009. "Design and evaluation of road pricing: state-of-the-art and methodological advances," Netnomics, Springer, vol. 10(1), pages 5-52, April.
When requesting a correction, please mention this item's handle: RePEc:zna:indecs:v:11:y:2013:i:1:p:51-70. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Josip Stepanic)
If references are entirely missing, you can add them using this form.