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Social network analysis and valid Markov chain Monte Carlo tests of null models |
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| Authors: | Stefan Krause Lutz Mattner Richard James Tristan Guttridge Mark J. Corcoran Samuel H. Gruber Jens Krause | ||
| Affiliation: | 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.
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| Keywords: | Null models Social network analysis Markov chain Monte Carlo tests Group living | ||
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