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

  • S Krause
  • , L Mattner
  • , Richard James
  • , T Guttridge
  • , M J Corcoran
  • , S H Gruber
  • , J Krause

Research output: Contribution to journal › Article › peer-review

28   Link opens in a new tab Citations (SciVal)

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.
Original languageEnglish
Pages (from-to)1089-1096
Number of pages8
JournalBehavioral Ecology and Sociobiology
Volume63
Issue number7
DOIs
Publication statusPublished - May 2009

Keywords

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

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