Spatial utilization predicts animal social contact networks are not scale-free

While heterogeneity in social behaviour has been described in many human contexts it is often assumed to be less common in the animal kingdom even though scale-free networks are observed. This homogeneity raises the question of whether the patterns of behaviour necessary to account for scale-free so...

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Main Authors: Alex James, Jeanette C. McLeod, Carlos Rouco, Kyle S. Richardson, Daniel M. Tompkins
Format: Article
Language:English
Published: The Royal Society 2017-01-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171209
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spelling doaj-f43014be9834445c8e574d83ef84bda62020-11-25T04:02:08ZengThe Royal SocietyRoyal Society Open Science2054-57032017-01-0141210.1098/rsos.171209171209Spatial utilization predicts animal social contact networks are not scale-freeAlex JamesJeanette C. McLeodCarlos RoucoKyle S. RichardsonDaniel M. TompkinsWhile heterogeneity in social behaviour has been described in many human contexts it is often assumed to be less common in the animal kingdom even though scale-free networks are observed. This homogeneity raises the question of whether the patterns of behaviour necessary to account for scale-free social contact networks, where the degree distribution follows a power law, i.e. a few individuals are very highly connected but most have only a few connections, occur in animals, or whether other mechanisms are needed to produce realistic contact network architectures. We develop a space-utilization model for individual animal behaviour to predict the individuals' social contact network. Using basic properties of the χ2 distribution we present a simple analytical result that allows the model to give a range of predictions with minimal computational effort. The model results are tested on data collected in New Zealand for the social contact networks of the wild brushtail possum (Trichosurus vulpecula). Our model provides a better prediction of network architecture than other simple models, including a scale-free model.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171209home-rangenetwork modelχ2 distribution
collection DOAJ
language English
format Article
sources DOAJ
author Alex James
Jeanette C. McLeod
Carlos Rouco
Kyle S. Richardson
Daniel M. Tompkins
spellingShingle Alex James
Jeanette C. McLeod
Carlos Rouco
Kyle S. Richardson
Daniel M. Tompkins
Spatial utilization predicts animal social contact networks are not scale-free
Royal Society Open Science
home-range
network model
χ2 distribution
author_facet Alex James
Jeanette C. McLeod
Carlos Rouco
Kyle S. Richardson
Daniel M. Tompkins
author_sort Alex James
title Spatial utilization predicts animal social contact networks are not scale-free
title_short Spatial utilization predicts animal social contact networks are not scale-free
title_full Spatial utilization predicts animal social contact networks are not scale-free
title_fullStr Spatial utilization predicts animal social contact networks are not scale-free
title_full_unstemmed Spatial utilization predicts animal social contact networks are not scale-free
title_sort spatial utilization predicts animal social contact networks are not scale-free
publisher The Royal Society
series Royal Society Open Science
issn 2054-5703
publishDate 2017-01-01
description While heterogeneity in social behaviour has been described in many human contexts it is often assumed to be less common in the animal kingdom even though scale-free networks are observed. This homogeneity raises the question of whether the patterns of behaviour necessary to account for scale-free social contact networks, where the degree distribution follows a power law, i.e. a few individuals are very highly connected but most have only a few connections, occur in animals, or whether other mechanisms are needed to produce realistic contact network architectures. We develop a space-utilization model for individual animal behaviour to predict the individuals' social contact network. Using basic properties of the χ2 distribution we present a simple analytical result that allows the model to give a range of predictions with minimal computational effort. The model results are tested on data collected in New Zealand for the social contact networks of the wild brushtail possum (Trichosurus vulpecula). Our model provides a better prediction of network architecture than other simple models, including a scale-free model.
topic home-range
network model
χ2 distribution
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171209
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AT kylesrichardson spatialutilizationpredictsanimalsocialcontactnetworksarenotscalefree
AT danielmtompkins spatialutilizationpredictsanimalsocialcontactnetworksarenotscalefree
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