Information processing in social insect networks.

Investigating local-scale interactions within a network makes it possible to test hypotheses about the mechanisms of global network connectivity and to ask whether there are general rules underlying network function across systems. Here we use motif analysis to determine whether the interactions wit...

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Main Authors: James S Waters, Jennifer H Fewell
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3398002?pdf=render
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spelling doaj-97c8ce07fa9f4a308d31606def176f632020-11-25T02:12:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0177e4033710.1371/journal.pone.0040337Information processing in social insect networks.James S WatersJennifer H FewellInvestigating local-scale interactions within a network makes it possible to test hypotheses about the mechanisms of global network connectivity and to ask whether there are general rules underlying network function across systems. Here we use motif analysis to determine whether the interactions within social insect colonies resemble the patterns exhibited by other animal associations or if they exhibit characteristics of biological regulatory systems. Colonies exhibit a predominance of feed-forward interaction motifs, in contrast to the densely interconnected clique patterns that characterize human interaction and animal social networks. The regulatory motif signature supports the hypothesis that social insect colonies are shaped by selection for network patterns that integrate colony functionality at the group rather than individual level, and demonstrates the utility of this approach for analysis of selection effects on complex systems across biological levels of organization.http://europepmc.org/articles/PMC3398002?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author James S Waters
Jennifer H Fewell
spellingShingle James S Waters
Jennifer H Fewell
Information processing in social insect networks.
PLoS ONE
author_facet James S Waters
Jennifer H Fewell
author_sort James S Waters
title Information processing in social insect networks.
title_short Information processing in social insect networks.
title_full Information processing in social insect networks.
title_fullStr Information processing in social insect networks.
title_full_unstemmed Information processing in social insect networks.
title_sort information processing in social insect networks.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description Investigating local-scale interactions within a network makes it possible to test hypotheses about the mechanisms of global network connectivity and to ask whether there are general rules underlying network function across systems. Here we use motif analysis to determine whether the interactions within social insect colonies resemble the patterns exhibited by other animal associations or if they exhibit characteristics of biological regulatory systems. Colonies exhibit a predominance of feed-forward interaction motifs, in contrast to the densely interconnected clique patterns that characterize human interaction and animal social networks. The regulatory motif signature supports the hypothesis that social insect colonies are shaped by selection for network patterns that integrate colony functionality at the group rather than individual level, and demonstrates the utility of this approach for analysis of selection effects on complex systems across biological levels of organization.
url http://europepmc.org/articles/PMC3398002?pdf=render
work_keys_str_mv AT jamesswaters informationprocessinginsocialinsectnetworks
AT jenniferhfewell informationprocessinginsocialinsectnetworks
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