Skip to main content

Simulation of Public Opinion with Ideas of Cellular Automata

  • Conference paper
Cellular Automata (ACRI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8751))

Included in the following conference series:

Abstract

Cellular automata approach for public opinion modeling is considered. Aiming the possibility of a practical use, we extend standard peer effects model by introducing the idea of states dependence and irregular lattice into it. The applicability of proposed approach was examined by modeling the parliamentary elections in Ukraine.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Makarenko, A., Musienko, A., Popova, A., Poveshenko, G., Samorodov, E., Trofimenko, A.: Cellular Automata, Agents with Mobility and GIS for Practical Problems. In: Sirakoulis, G.C., Bandini, S. (eds.) ACRI 2012. LNCS, vol. 7495, pp. 738–742. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  2. Makarenko, A., Krushinski, D., Musienko, A., Goldengorin, B.: Towards Cellular Automata Football Models with Mentality Accounting. In: Bandini, S., Manzoni, S., Umeo, H., Vizzari, G. (eds.) ACRI 2010. LNCS, vol. 6350, pp. 149–152. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  3. Krushinski, D., Makarenko, A.: Cellular automata with anticipation: examples and presumable applications. In: Dubois, D. (ed.) Computing Anticipatory Systems. AIP Conf. Proceed. Series, vol. 1303, pp. 246–254. AIP N.- Y. (2010)

    Google Scholar 

  4. Lande, D., Furashev, V.: Fundamentals of information and social-legal modeling, LLC “PanTot” (2012) (in Russian )

    Google Scholar 

  5. Castellano, C., Fortunato, S., Loreto, V.: Statistical physics of social dynamics. ArXiv: 0710.3256v2 [physics-soc-ph], 58 p. (2009)

    Google Scholar 

  6. Kasperski, K., Holist, J.A.: Phase Transitions and Hysteresis in a Cellular Automata-Bsased Model of Opinion Formation. J. of Statistical Physics 84(1.2), 169–189 (1996)

    Article  Google Scholar 

  7. Alves, S.G., Oliveira Neto, N.M., Martins, M.L.: Electoral surveys influence on the voting processes: a cellular automata model. Arxiv: cond-mat/020413v1, 16 p. (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Ievgen, T., Alexander, M. (2014). Simulation of Public Opinion with Ideas of Cellular Automata. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11520-7_54

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11519-1

  • Online ISBN: 978-3-319-11520-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics