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...

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Autores principales:	Ishaan Batta, Qihang Yao, Kaeser M. Sabrin, Constantine Dovrolis
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/85217693147f4947acd74f44665d1980
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id	oai:doaj.org-article:85217693147f4947acd74f44665d1980
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spelling	oai:doaj.org-article:85217693147f4947acd74f44665d19802021-11-04T06:49:45ZA weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome1932-6203https://doaj.org/article/85217693147f4947acd74f44665d19802021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550382/?tool=EBIhttps://doaj.org/toc/1932-6203Understanding 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.Ishaan BattaQihang YaoKaeser M. SabrinConstantine DovrolisPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ishaan Batta Qihang Yao Kaeser M. Sabrin Constantine Dovrolis A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome
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	article
author	Ishaan Batta Qihang Yao Kaeser M. Sabrin Constantine Dovrolis
author_facet	Ishaan Batta Qihang Yao Kaeser M. Sabrin Constantine Dovrolis
author_sort	Ishaan Batta
title	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_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_sort	weighted network analysis framework for the hourglass effect—and its application in the c. elegans connectome
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/85217693147f4947acd74f44665d1980
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A weighted network analysis framework for the hourglass effect—And its application in the C. elegans connectome

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