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Information Processing in Social Insect Networks

Overview of attention for article published in PLOS ONE, July 2012
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Title
Information Processing in Social Insect Networks
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040337
Pubmed ID
Authors

James S. Waters, Jennifer H. Fewell

Abstract

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
China 3 1%
United Kingdom 3 1%
Germany 2 <1%
Brazil 1 <1%
Israel 1 <1%
Turkey 1 <1%
Hungary 1 <1%
Switzerland 1 <1%
Other 2 <1%
Unknown 218 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 28%
Researcher 33 14%
Student > Master 31 13%
Student > Bachelor 18 8%
Professor > Associate Professor 13 5%
Other 47 20%
Unknown 31 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 39%
Computer Science 33 14%
Physics and Astronomy 12 5%
Environmental Science 11 5%
Engineering 9 4%
Other 34 14%
Unknown 46 19%