Cargando…
A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome
Understanding hierarchy and modularity in natural as well as technological networks is of utmost importance. A major aspect of such analysis involves identifying the nodes that are crucial to the overall processing structure of the network. More recently, the approach of hourglass analysis has been...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550382/ https://www.ncbi.nlm.nih.gov/pubmed/34705821 http://dx.doi.org/10.1371/journal.pone.0249846 |
_version_ | 1784590947222290432 |
---|---|
author | Batta, Ishaan Yao, Qihang Sabrin, Kaeser M. Dovrolis, Constantine |
author_facet | Batta, Ishaan Yao, Qihang Sabrin, Kaeser M. Dovrolis, Constantine |
author_sort | Batta, Ishaan |
collection | PubMed |
description | Understanding hierarchy and modularity in natural as well as technological networks is of utmost importance. A major aspect of such analysis involves identifying the nodes that are crucial to the overall processing structure of the network. More recently, the approach of hourglass analysis has been developed for the purpose of quantitatively analyzing whether only a few intermediate nodes mediate the information processing between a large number of inputs and outputs of a network. We develop a new framework for hourglass analysis that takes network weights into account while identifying the core nodes and the extent of hourglass effect in a given weighted network. We use this framework to study the structural connectome of the C. elegans and identify intermediate neurons that form the core of sensori-motor pathways in the organism. Our results show that the neurons forming the core of the connectome show significant differences across the male and hermaphrodite sexes, with most core nodes in the male concentrated in sex-organs while they are located in the head for the hermaphrodite. Our work demonstrates that taking weights into account for network analysis framework leads to emergence of different network patterns in terms of identification of core nodes and hourglass structure in the network, which otherwise would be missed by unweighted approaches. |
format | Online Article Text |
id | pubmed-8550382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85503822021-10-28 A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome Batta, Ishaan Yao, Qihang Sabrin, Kaeser M. Dovrolis, Constantine PLoS One Research Article Understanding hierarchy and modularity in natural as well as technological networks is of utmost importance. A major aspect of such analysis involves identifying the nodes that are crucial to the overall processing structure of the network. More recently, the approach of hourglass analysis has been developed for the purpose of quantitatively analyzing whether only a few intermediate nodes mediate the information processing between a large number of inputs and outputs of a network. We develop a new framework for hourglass analysis that takes network weights into account while identifying the core nodes and the extent of hourglass effect in a given weighted network. We use this framework to study the structural connectome of the C. elegans and identify intermediate neurons that form the core of sensori-motor pathways in the organism. Our results show that the neurons forming the core of the connectome show significant differences across the male and hermaphrodite sexes, with most core nodes in the male concentrated in sex-organs while they are located in the head for the hermaphrodite. Our work demonstrates that taking weights into account for network analysis framework leads to emergence of different network patterns in terms of identification of core nodes and hourglass structure in the network, which otherwise would be missed by unweighted approaches. Public Library of Science 2021-10-27 /pmc/articles/PMC8550382/ /pubmed/34705821 http://dx.doi.org/10.1371/journal.pone.0249846 Text en © 2021 Batta et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Batta, Ishaan Yao, Qihang Sabrin, Kaeser M. Dovrolis, Constantine A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome |
title | A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome |
title_full | A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome |
title_fullStr | A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome |
title_full_unstemmed | A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome |
title_short | A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome |
title_sort | weighted network analysis framework for the hourglass effect—and its application in the c. elegans connectome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550382/ https://www.ncbi.nlm.nih.gov/pubmed/34705821 http://dx.doi.org/10.1371/journal.pone.0249846 |
work_keys_str_mv | AT battaishaan aweightednetworkanalysisframeworkforthehourglasseffectanditsapplicationinthecelegansconnectome AT yaoqihang aweightednetworkanalysisframeworkforthehourglasseffectanditsapplicationinthecelegansconnectome AT sabrinkaeserm aweightednetworkanalysisframeworkforthehourglasseffectanditsapplicationinthecelegansconnectome AT dovrolisconstantine aweightednetworkanalysisframeworkforthehourglasseffectanditsapplicationinthecelegansconnectome AT battaishaan weightednetworkanalysisframeworkforthehourglasseffectanditsapplicationinthecelegansconnectome AT yaoqihang weightednetworkanalysisframeworkforthehourglasseffectanditsapplicationinthecelegansconnectome AT sabrinkaeserm weightednetworkanalysisframeworkforthehourglasseffectanditsapplicationinthecelegansconnectome AT dovrolisconstantine weightednetworkanalysisframeworkforthehourglasseffectanditsapplicationinthecelegansconnectome |