Information processing in social insect networks

James S. Waters, Jennifer Fewell

Research output: Contribution to journalArticle

30 Citations (Scopus)

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.

Original languageEnglish (US)
Article numbere40337
JournalPLoS One
Volume7
Issue number7
DOIs
StatePublished - Jul 16 2012

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insect colonies
social insects
Automatic Data Processing
Social Support
Insects
Animals
social networks
Interpersonal Relations
Large scale systems
animals
Organizations
testing

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Information processing in social insect networks. / Waters, James S.; Fewell, Jennifer.

In: PLoS One, Vol. 7, No. 7, e40337, 16.07.2012.

Research output: Contribution to journalArticle

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