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Social network analysis and valid Markov chain Monte Carlo tests of null models
Authors:Stefan Krause  Lutz Mattner  Richard James  Tristan Guttridge  Mark J Corcoran  Samuel H Gruber  Jens Krause
Institution:1.Fachbereich Elektrotechnik und Informatik,University of Applied Sciences Lübeck,Lübeck,Germany;2.FB IV-Mathematik,Universit?t Trier,Trier,Germany;3.Bimini Biological Field Station,South Bimini,Bahamas;4.Department of Physics,University of Bath,Bath,UK;5.Institute of Integrative and Comparative Biology,University of Leeds,Leeds,UK
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.
Contact Information Stefan KrauseEmail:
Keywords:Null models  Social network analysis  Markov chain Monte Carlo tests  Group living
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