Skip to main content
SpringerLink
Log in

An Agent-Based Simulation of Christakis-Fowler Social Model

  • Conference paper
Recent Developments in Computational Collective Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 513))

Abstract

We propose an agent-based simulation system that allows to design and test social models and also to persist the state of the social network during the execution. Using graph-based community identification and tracking algorithms, the network evolution can be analysed to characterize and compare model implementations. This system has been tested using the Christakis-Fowler model. A description of the system is given, as well as experimental results obtained from this model.

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

Access this chapter

Log in via an institution
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

  1. 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, pp. 1–9 (March 2010)

    Google Scholar 

  2. Klimt, B., Yang, Y.: Introducing the enron corpus. Machine Learning (2004)

    Google Scholar 

  3. Abrol, S., Khan, L.: Tweethood: Agglomerative clustering on fuzzy k-closest friends with variable depth for location mining. In: 2010 IEEE Second International Conference on Social Computing (SocialCom), pp. 153–160 (2010)

    Google Scholar 

  4. Jahnke, I.: Dynamics of social roles in a knowledge management community. Comput. Hum. Behav. 26(4), 533–546 (2010)

    Article  MathSciNet  Google Scholar 

  5. Barabasi, A., Jeong, H., Neda, Z., Ravasz, E., Schubert, A., Vicsek, T.: Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and its Applications 311(3-4), 590–614 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  6. Wan, Y., Bin, W., Shengqi, Y.: Commtracker: A core-based algorithm of tracking community evolution. Journal of Frontiers of Computer Science and Technology 3(3), 282–292 (2009)

    Google Scholar 

  7. Schelling, T.C.: Dynamic models of segregation. Journal of Mathematical Sociology 1, 143–186 (1971)

    Article  Google Scholar 

  8. Epstein, J.M., Axtell, R.: Growing artificial societies: social science from the bottom up. The Brookings Institution, Washington, DC (1996)

    Google Scholar 

  9. Jurasovic, K., Jezic, G., Kusek, M.: A performance analysis of multi-agent systems. ITSSA 1(4), 335–342 (2006)

    Google Scholar 

  10. Li, X., Mao, W., Zeng, D., Wang, F.-Y.: Agent-based social simulation and modeling in social computing. In: Yang, C.C., et al. (eds.) ISI 2008 Workshops. LNCS, vol. 5075, pp. 401–412. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  11. Davidsson, P.: Agent based social simulation: a computer science view. The Journal of Artificial Societies and Social Simulation 5(1) (January 2002)

    Google Scholar 

  12. Snijders, T., van de Bunt, G., Steglich, C.: Introduction to stochastic actor-based models for network dynamics. Social Networks 32(1), 44–60 (2010)

    Article  Google Scholar 

  13. Costa, L.D.F., Rodrigues, F.A., Travieso, G., Boas, P.R.V.: Characterization of complex networks: A survey of measurements. Advances in Physics 56(1), 78 (2005)

    Google Scholar 

  14. Palla, G., Barabasi, A.L., Vicsek, T.: Quantifying social group evolution. Nature 446(7136), 664–667 (2007)

    Article  Google Scholar 

  15. Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)

    Article  MathSciNet  Google Scholar 

  16. Caldarelli, G., Capocci, A., De Los_rios, P., Muñoz, M.A.: Scale free networks from varying vertex intrinsic fitness. Physical Review Letters 89 (2002)

    Google Scholar 

  17. Fortunato, S.: Community detection in graphs. Physics Reports 486(3-5), 75–174 (2010)

    Article  MathSciNet  Google Scholar 

  18. Watts, D.J., Strogatz, S.H.: Collective dynamics of ’small-world’ networks. Nature 393(6684), 440–442 (1998)

    Article  Google Scholar 

  19. Freeman, L.: A set of measures of centrality based on betweenness. Sociometry 40(1), 35–41 (1977)

    Article  Google Scholar 

  20. Palla, G., Barabasi, A.L., Vicsek, T.: Quantifying social group evolution. Nature 446(7136), 660–667 (2007)

    Article  Google Scholar 

  21. Christakis, N.A., Fowler, J.H.: The collective dynamics of smoking in a large social network. N. Engl. J. Med. 358(21), 2249–2258 (2008)

    Article  Google Scholar 

  22. Christakis, N.A., Fowler, J.H.: The spread of obesity in a large social network over 32 years. The New England Journal of Medicine 357(4), 370–379 (2007); Access to full text is subject to the publisher’s access restrictions

    Article  Google Scholar 

  23. Noel, H., Nyhan, B.: The ’unfriending’ problem: The consequences of homophily in friendship retention for causal estimates of social influence. Social Networks 33(3), 211–218 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain

    Antonio Gonzalez-Pardo, Raul Cajias & David Camacho

Authors
  1. Antonio Gonzalez-Pardo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Raul Cajias
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. David Camacho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antonio Gonzalez-Pardo .

Editor information

Editors and Affiliations

  1. Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania

    Amelia Badica

  2. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawinski

  3. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Gonzalez-Pardo, A., Cajias, R., Camacho, D. (2014). An Agent-Based Simulation of Christakis-Fowler Social Model. In: Badica, A., Trawinski, B., Nguyen, N. (eds) Recent Developments in Computational Collective Intelligence. Studies in Computational Intelligence, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-319-01787-7_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-01787-7_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01786-0

  • Online ISBN: 978-3-319-01787-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation