Skip to main content

Dynamics of Task Oriented Agent Behaviour in Multiple Layer Social Networks

  • Chapter
Book cover Advancing Social Simulation: The First World Congress

Abstract

In numerous real-world situations, people are confronted with tasks that they are unable to fulfil alone. Often, such tasks are characterised by the necessity to include a number of different expertises to their accomplishment. Consequently, people organise themselves into networks aimed at the completion of some specific task. Examples of such situations are to be found in virtually any domain, such as science, economy, or in the context of managing and maintaining natural resources.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Albert, R. and Barabási, A.L. (2002): Statistical mechanics of complex networks. Rev. Mod. Phys., 74, 47–97.

    Article  Google Scholar 

  • Dawes, R.M. (1980). Social dilemmas. Annual Review of Psychology, 31, 169–193.

    Article  Google Scholar 

  • Forgy, C. (1982). Rete: A fast algorithm for the many pattern/many object pattern match problem. Artificial Intelligence, 19, 17–37.

    Article  Google Scholar 

  • Jin, E., Girvan, M. & Newman, M.EJ. (2001). The structure of growing social networks, Phys. Rev. E 64, 046132.

    Google Scholar 

  • Newman, M.E.J. (2003). The structure and function of complex networks. SIAM Review, 45(2), 167–256.

    Article  MATH  MathSciNet  Google Scholar 

  • de Nooy, W., Mrvar, A. and Batagelj, V. (2004): Exploratory Social Network Analysis with Pajek. Cambridge University Press (Cambridge).

    Google Scholar 

  • Olson, M. (1965). The logic of collective action. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Pujol, J.M., Flache, A., Delgado, J. & Sangüesa, R. (2005). How can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges. Journal of Artificial Societies and Social Simulation, 8(4).

    Google Scholar 

  • Wassermann, S. & Faust K. (1994). Social Network Analysis. Cambridge: Cambridge University Press.

    Google Scholar 

  • Watts, D. & Strogatz, S. (1998). Collective dynamics of small-world networks, Nature, 393,440 (1998).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer

About this chapter

Cite this chapter

Ernst, A., Krebs, F., Zehnpfund, C. (2007). Dynamics of Task Oriented Agent Behaviour in Multiple Layer Social Networks. In: Takahashi, S., Sallach, D., Rouchier, J. (eds) Advancing Social Simulation: The First World Congress. Springer, Tokyo. https://doi.org/10.1007/978-4-431-73167-2_29

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-73167-2_29

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-73150-4

  • Online ISBN: 978-4-431-73167-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics