Factors determining nestedness in complex networks.
Understanding the causes and effects of network structural features is a key task in deciphering complex systems. In this context, the property of network nestedness has aroused a fair amount of interest as regards ecological networks. Indeed, Bastolla et al. introduced a simple measure of network n...
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doaj-2afa042a73e9416485289c65e6f076862020-11-24T21:41:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0189e7402510.1371/journal.pone.0074025Factors determining nestedness in complex networks.Samuel JonhsonVirginia Domínguez-GarcíaMiguel A MuñozUnderstanding the causes and effects of network structural features is a key task in deciphering complex systems. In this context, the property of network nestedness has aroused a fair amount of interest as regards ecological networks. Indeed, Bastolla et al. introduced a simple measure of network nestedness which opened the door to analytical understanding, allowing them to conclude that biodiversity is strongly enhanced in highly nested mutualistic networks. Here, we suggest a slightly refined version of such a measure of nestedness and study how it is influenced by the most basic structural properties of networks, such as degree distribution and degree-degree correlations (i.e. assortativity). We find that most of the empirically found nestedness stems from heterogeneity in the degree distribution. Once such an influence has been discounted - as a second factor - we find that nestedness is strongly correlated with disassortativity and hence - as random networks have been recently found to be naturally disassortative - they also tend to be naturally nested just as the result of chance.http://europepmc.org/articles/PMC3777946?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Samuel Jonhson Virginia Domínguez-García Miguel A Muñoz |
spellingShingle |
Samuel Jonhson Virginia Domínguez-García Miguel A Muñoz Factors determining nestedness in complex networks. PLoS ONE |
author_facet |
Samuel Jonhson Virginia Domínguez-García Miguel A Muñoz |
author_sort |
Samuel Jonhson |
title |
Factors determining nestedness in complex networks. |
title_short |
Factors determining nestedness in complex networks. |
title_full |
Factors determining nestedness in complex networks. |
title_fullStr |
Factors determining nestedness in complex networks. |
title_full_unstemmed |
Factors determining nestedness in complex networks. |
title_sort |
factors determining nestedness in complex networks. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2013-01-01 |
description |
Understanding the causes and effects of network structural features is a key task in deciphering complex systems. In this context, the property of network nestedness has aroused a fair amount of interest as regards ecological networks. Indeed, Bastolla et al. introduced a simple measure of network nestedness which opened the door to analytical understanding, allowing them to conclude that biodiversity is strongly enhanced in highly nested mutualistic networks. Here, we suggest a slightly refined version of such a measure of nestedness and study how it is influenced by the most basic structural properties of networks, such as degree distribution and degree-degree correlations (i.e. assortativity). We find that most of the empirically found nestedness stems from heterogeneity in the degree distribution. Once such an influence has been discounted - as a second factor - we find that nestedness is strongly correlated with disassortativity and hence - as random networks have been recently found to be naturally disassortative - they also tend to be naturally nested just as the result of chance. |
url |
http://europepmc.org/articles/PMC3777946?pdf=render |
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