Behavioral Ecology and Sociobiology

, Volume 63, Issue 7, pp 1089–1096

Social network analysis and valid Markov chain Monte Carlo tests of null models

  • Stefan Krause
  • Lutz Mattner
  • Richard James
  • Tristan Guttridge
  • Mark J. Corcoran
  • Samuel H. Gruber
  • Jens Krause
Methods

DOI: 10.1007/s00265-009-0746-1

Cite this article as:
Krause, S., Mattner, L., James, R. et al. Behav Ecol Sociobiol (2009) 63: 1089. doi:10.1007/s00265-009-0746-1

Abstract

Analyses of animal social networks derived from group-based associations often rely on randomisation methods developed in ecology (Manly, Ecology 76:1109–1115, 1995) and made available to the animal behaviour community through implementation of a pair-wise swapping algorithm by Bejder et al. (Anim Behav 56:719–725, 1998). We report a correctable flaw in this method and point the reader to a wider literature on the subject of null models in the ecology literature. We illustrate the importance of correcting the method using a toy network and use it to make a preliminary analysis of a network of associations among eagle rays.

Keywords

Null models Social network analysis Markov chain Monte Carlo tests Group living 

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Stefan Krause
    • 1
  • Lutz Mattner
    • 2
  • Richard James
    • 4
  • Tristan Guttridge
    • 5
  • Mark J. Corcoran
    • 3
  • Samuel H. Gruber
    • 3
  • Jens Krause
    • 5
  1. 1.Fachbereich Elektrotechnik und InformatikUniversity of Applied Sciences LübeckLübeckGermany
  2. 2.FB IV-MathematikUniversität TrierTrierGermany
  3. 3.Bimini Biological Field StationSouth BiminiBahamas
  4. 4.Department of PhysicsUniversity of BathBathUK
  5. 5.Institute of Integrative and Comparative BiologyUniversity of LeedsLeedsUK

Personalised recommendations