Time-ordered networks reveal limitations to information flow in ant colonies.

<h4>Background</h4>An important function of many complex networks is to inhibit or promote the transmission of disease, resources, or information between individuals. However, little is known about how the temporal dynamics of individual-level interactions affect these networks and const...

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Autores principales:	Benjamin Blonder, Anna Dornhaus
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/be6ac9cafe6c4785889dd84ceb79a6f5
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spelling	oai:doaj.org-article:be6ac9cafe6c4785889dd84ceb79a6f52021-11-18T06:53:36ZTime-ordered networks reveal limitations to information flow in ant colonies.1932-620310.1371/journal.pone.0020298https://doaj.org/article/be6ac9cafe6c4785889dd84ceb79a6f52011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21625450/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>An important function of many complex networks is to inhibit or promote the transmission of disease, resources, or information between individuals. However, little is known about how the temporal dynamics of individual-level interactions affect these networks and constrain their function. Ant colonies are a model comparative system for understanding general principles linking individual-level interactions to network-level functions because interactions among individuals enable integration of multiple sources of information to collectively make decisions, and allocate tasks and resources.<h4>Methodology/findings</h4>Here we show how the temporal and spatial dynamics of such individual interactions provide upper bounds to rates of colony-level information flow in the ant Temnothorax rugatulus. We develop a general framework for analyzing dynamic networks and a mathematical model that predicts how information flow scales with individual mobility and group size.<h4>Conclusions/significance</h4>Using thousands of time-stamped interactions between uniquely marked ants in four colonies of a range of sizes, we demonstrate that observed maximum rates of information flow are always slower than predicted, and are constrained by regulation of individual mobility and contact rate. By accounting for the ordering and timing of interactions, we can resolve important difficulties with network sampling frequency and duration, enabling a broader understanding of interaction network functioning across systems and scales.Benjamin BlonderAnna DornhausPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 5, p e20298 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Benjamin Blonder Anna Dornhaus Time-ordered networks reveal limitations to information flow in ant colonies.
description	<h4>Background</h4>An important function of many complex networks is to inhibit or promote the transmission of disease, resources, or information between individuals. However, little is known about how the temporal dynamics of individual-level interactions affect these networks and constrain their function. Ant colonies are a model comparative system for understanding general principles linking individual-level interactions to network-level functions because interactions among individuals enable integration of multiple sources of information to collectively make decisions, and allocate tasks and resources.<h4>Methodology/findings</h4>Here we show how the temporal and spatial dynamics of such individual interactions provide upper bounds to rates of colony-level information flow in the ant Temnothorax rugatulus. We develop a general framework for analyzing dynamic networks and a mathematical model that predicts how information flow scales with individual mobility and group size.<h4>Conclusions/significance</h4>Using thousands of time-stamped interactions between uniquely marked ants in four colonies of a range of sizes, we demonstrate that observed maximum rates of information flow are always slower than predicted, and are constrained by regulation of individual mobility and contact rate. By accounting for the ordering and timing of interactions, we can resolve important difficulties with network sampling frequency and duration, enabling a broader understanding of interaction network functioning across systems and scales.
format	article
author	Benjamin Blonder Anna Dornhaus
author_facet	Benjamin Blonder Anna Dornhaus
author_sort	Benjamin Blonder
title	Time-ordered networks reveal limitations to information flow in ant colonies.
title_short	Time-ordered networks reveal limitations to information flow in ant colonies.
title_full	Time-ordered networks reveal limitations to information flow in ant colonies.
title_fullStr	Time-ordered networks reveal limitations to information flow in ant colonies.
title_full_unstemmed	Time-ordered networks reveal limitations to information flow in ant colonies.
title_sort	time-ordered networks reveal limitations to information flow in ant colonies.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/be6ac9cafe6c4785889dd84ceb79a6f5
work_keys_str_mv	AT benjaminblonder timeorderednetworksreveallimitationstoinformationflowinantcolonies AT annadornhaus timeorderednetworksreveallimitationstoinformationflowinantcolonies
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Time-ordered networks reveal limitations to information flow in ant colonies.

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