Skip to main content

Actor-Based Models for Longitudinal Networks

  • Reference work entry
  • First Online:
Book cover Encyclopedia of Social Network Analysis and Mining
  • 286 Accesses

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 2,500.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
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

References

  • Brass D, Galaskiewicz J, Greve H, Tsai W (2004) Taking stock of networks and organizations: a multilevel perspective. Acad Manag J 47:795–817

    Google Scholar 

  • Burk W, Cr S, Tr S (2007) Beyond dyadic interdependence: actor-oriented models for co-evolving social networks and individual behaviors. Int J Behav Dev 31:397–404

    Article  Google Scholar 

  • Checkley M, Steglich C (2007) Partners in power: job mobility and dynamic deal-making. Eur Manag Rev 4(3):161–171

    Article  Google Scholar 

  • Coleman J (1964) Introduction to mathematical sociology. The Free Press of Glencoe, New York

    Google Scholar 

  • de Nooy W (2002) The dynamics of artistic prestige. Poetics 30:147–167

    Article  Google Scholar 

  • Frank O (1991) Statistical analysis of change in networks. Statistica Neerlandica 45:283–293

    Article  MathSciNet  MATH  Google Scholar 

  • Huisman ME, Steglich CEG (2008) Treatment of non-response in longitudinal network data. Soc Networks 30:297–308

    Article  Google Scholar 

  • Hunter DR, Goodreau SM, Handcock MS (2008) Goodness of fit for social network models. J Am Stat Assoc 103:248–258

    Article  MathSciNet  MATH  Google Scholar 

  • Koskinen JH, Snijders TA (2007) Bayesian inference for dynamic social network data. J Stat Plan Inference 137(12):3930–3938

    Article  MathSciNet  MATH  Google Scholar 

  • Pearson MA, West P (2003) Drifting smoke rings: social network analysis and Markov processes in a longitudinal study of friendship groups and risk-taking. Connections 25(2):59–76

    Google Scholar 

  • Ripley R, Snijders T (2011) Manual for SIENA version 4.0. http://www.stats.ox.ac.uk/siena/

  • Robbins H, Monro S (1951) A stochastic approximation method. Ann Math Stat 22(3):400–407

    Article  MathSciNet  MATH  Google Scholar 

  • Robins GL, Pattison PE, Kalish Y, Lusher D (2007) An introduction to exponential random graph (p*) models for social networks. Soc Networks 29:173–191

    Article  Google Scholar 

  • Sampson SF (1968) A novitiate in a period of change: an experimental and case study of social relationships. PhD thesis, Cornell University

    Google Scholar 

  • Snijders TAB (1996) Stochastic actor-oriented dynamic network analysis. J Math Soc 21:149–172

    Article  MATH  Google Scholar 

  • Snijders TAB (2001) The statistical evaluation of social network dynamics. Sociol Methodol 31(1):361–395

    Article  MathSciNet  Google Scholar 

  • Snijders TAB (2005) Models for longitudinal network data. In: Carrington PJ, Scott J, Wasserman S (eds) Models and methods in social network analysis. Cambridge University Press, Cambridge/New York, pp 215–247

    Chapter  Google Scholar 

  • Snijders TAB (2006) Statistical methods for network dynamics. In: Luchini SR et al (eds) Proceedings of the XLIII scientific meeting. Italian Statistical Society. CLEUP, Padova, pp 281–296

    Google Scholar 

  • Snijders TAB (2012) Siena in R: RSiena. http://www.stats.ox.ac.uk/snijders/siena/siena_r.htm

  • Snijders TAB, van Duijn MAJ (1997) Simulation for statistical inference in dynamic network models. In: Conte R, Hegselmann R, Terna P (eds) Simulating social phenomena. Springer, Berlin, pp 493–512

    Chapter  Google Scholar 

  • Snijders TAB, Koskinen J, Schweinberger M (2010) Maximum likelihood estimation for social network dynamics. Ann Appl Stat 4(2):567–588

    Article  MathSciNet  MATH  Google Scholar 

  • van de Bunt GG (1999) Friends by choice; an actor-oriented statistical network model for friendship networks through time. Thesis Publishers, Amsterdam

    Google Scholar 

  • van de Bunt GG, Groenewegen P (2007) An actor-oriented dynamic network approach: the case of interorganizational network evolution. Organ Res Methods 10(3):463–482

    Article  Google Scholar 

  • van Duijn M, Zeggelink EPH, Huisman M, Stokman FN, Wasseur FW (2003) Evolution of sociology freshmen into a friendship network. J Math Sociol 27:153–191

    Article  Google Scholar 

  • Wasserman S (1979) A stochastic model for directed graphs with transition rates determined by reciprocity. In: Schuessler KF (ed) Sociological methodology 1980. Jossey-Bass, San Francisco

    Google Scholar 

Download references

Acknowledgments

Nial Friel’s research was supported by a Science Foundation Ireland Research Frontiers Program grant, 09/RFP/MTH2199.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alberto Caimo .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Caimo, A., Friel, N. (2018). Actor-Based Models for Longitudinal Networks. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_166

Download citation

Publish with us

Policies and ethics