Advanced Search
MyIDEAS: Login to save this article or follow this journal

Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks

Contents:

Author Info

  • Andreas Koulouris

    (Department of Psychology, Panteion University)

  • Ioannis Katerelos

    (Department of Psychology, Panteion University)

  • Theodore Tsekeris

    ()
    (Centre of Planning and Economic Research (KEPE))

Abstract

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://indecs.eu/2013/indecs2013-pp51-70.pdf
Download Restriction: no

Bibliographic Info

Article provided by Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu in its journal Interdisciplinary Description of Complex Systems.

Volume (Year): 11 (2013)
Issue (Month): 1 ()
Pages: 51-70

as in new window
Handle: RePEc:zna:indecs:v:11:y:2013:i:1:p:51-70

Contact details of provider:

Related research

Keywords: agent-based models; social networks; opinion dynamics; communication topology; unpredictability;

Find related papers by JEL classification:

References

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.:
as in new window
  1. Andrea Galeotti & Sanjeev Goyal, 2002. "Network Formation with Heterogeneous Players," Tinbergen Institute Discussion Papers, Tinbergen Institute 02-069/1, Tinbergen Institute.
  2. 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, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1.
  3. 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, ETH Zurich, Chair of Systems Design CCSS-09-010, ETH Zurich, Chair of Systems Design.
  4. Daron Acemoglu & Asuman Ozdaglar, 2011. "Opinion Dynamics and Learning in Social Networks," Dynamic Games and Applications, Springer, Springer, vol. 1(1), pages 3-49, March.
  5. McFadden, Daniel, 2007. "The behavioral science of transportation," Transport Policy, Elsevier, vol. 14(4), pages 269-274, July.
  6. Zwiebel, Jeffrey H. & Vayanos, Dimitri & DeMarzo, Peter M., 2001. "Persuasion Bias, Social Influence, and Uni-Dimensional Opinions," Research Papers, Stanford University, Graduate School of Business 1719, Stanford University, Graduate School of Business.
  7. 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, The International Society for Economic Theory, vol. 7(1), pages 77-92, 03.
  8. Hayashi Fumiko & Klee Elizabeth, 2003. "Technology Adoption and Consumer Payments: Evidence from Survey Data," Review of Network Economics, De Gruyter, De Gruyter, vol. 2(2), pages 1-16, June.
  9. 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.
  10. 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, Journal of Artificial Societies and Social Simulation, vol. 7(2), pages 4.
  11. 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, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 2.
  12. Theodore Tsekeris & Stefan Voß, 2009. "Design and evaluation of road pricing: state-of-the-art and methodological advances," Netnomics, Springer, Springer, vol. 10(1), pages 5-52, April.
  13. Caldarelli, Guido, 2007. "Scale-Free Networks: Complex Webs in Nature and Technology," OUP Catalogue, Oxford University Press, Oxford University Press, number 9780199211517, October.
  14. Helbing, Dirk, 2009. "Managing Complexity in Socio-Economic Systems," European Review, Cambridge University Press, Cambridge University Press, vol. 17(02), pages 423-438, May.
  15. 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, Springer, vol. 71(4), pages 549-555, October.
  16. 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., John Wiley & Sons, Ltd., vol. 29(4), pages 854-874.
  17. 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, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(4), pages 1159-1174, November.
  18. 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, Journal of Artificial Societies and Social Simulation, vol. 11(4), pages 2.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

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 you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.