Skip to main content

Agent Based Simulation of Spreading in Social-Systems of Temporarily Active Actors

  • 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

In this work a novel model of information spreading processes in systems of dynamic active-inactive actors is presented. In our model information can flow only through those actors of the system that are currently active. Based on this model we carried out computer simulations showing how the activity of agents affect the process. We also carried out some basic investigation of the effect of inhomogeneous activity. The results of the work can be used to qualitatively predict what would be the effect if the activity of agents would change in a social system.

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. Rogers, E.M.: Diffusion of Innovations, 5th edn. Free Press, New York (2003), ISBN: 0-7432-2209-1

    Google Scholar 

  2. Weidlich, W.: Sociodynamics: A systematic approach to mathematical modelling in the social sciences, pp. 113–187. Dover Publications, Mineola (2000)

    Google Scholar 

  3. Newman, M.E.J.: Networks - An introduction, University of Michigan and Santa Fe Institute, pp. 627–675. Oxford University Press (2010)

    Google Scholar 

  4. Couzin, I.D., Ioannou, C.C., Demirel, G., Gross, T., Torney, C.J., Hartnett, A., Conradt, L., Levin, S.A., Leonard, N.E.: Uninformed individuals promote democratic consensus in animal groups. Science 332(6062), 1578–1580 (2011)

    Article  Google Scholar 

  5. Apolloni, A., Channakeshava, K., Durbeck, L., Khan, M., Kuhlman, C., Lewis, B., Swarup, S.: A Study of Information Diffusion over a Realistic Social Network Model. In: Proceedings of CSE 2009, Vancouver, Canada, August 29-31 (2009)

    Google Scholar 

  6. Kocsis, G., Kun, F.: Competition of information channels in the spreading of innovations. Physical Review E 84, 2 (2011)

    Article  Google Scholar 

  7. Watts, D.J., Strogatz, S.H.: Collective dynamics of “small-world” networks. Nature 393, 440–442 (1998)

    Article  Google Scholar 

  8. Barabási, A., Albert, R.: Emergence of scaling in random networks. Science 286, 509–512 (1999)

    Article  MathSciNet  Google Scholar 

  9. Varga, I., Németh, A., Kocsis, G.: A novel method of generating tunable underlying network topologies for social simulation. In: Proceedings of 4th IEEE International Conference on Cognitive Infocommunicaitons, pp. 71–74 (2013)

    Google Scholar 

  10. Varga, I., Kocsis, G.: Generating network topologies with clustering similar to online social networks. Submitted as pre-proceedings to SMSEC 2014 (2014)

    Google Scholar 

  11. Gjoka, M., Kurant, M., Butts, C.T., Markopoulou, A.: Walking in Facebook: A Case Study of Unbiased Sampling of OSNs. In: Proceedings of IEEE INFOCOM 2010, San Diego, CA (2010)

    Google Scholar 

  12. Huberman, B.A., Romero, D.M., Wu, F.: Social networks that matter: Twitter under the microscope. First Monday 14 1 (2009)

    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

Kocsis, G., Varga, I. (2014). Agent Based Simulation of Spreading in Social-Systems of Temporarily Active Actors. 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_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11520-7_34

  • 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