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Construction, comparison and evolution of networks in life sciences and other disciplines

Network approaches have become pervasive in many research fields. They allow for a more comprehensive understanding of complex relationships between entities as well as their group-level properties and dynamics. Many networks change over time, be it within seconds or millions of years, depending on...

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Detalles Bibliográficos
Autores principales: Gysi, Deisy Morselli, Nowick, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276545/
https://www.ncbi.nlm.nih.gov/pubmed/32370689
http://dx.doi.org/10.1098/rsif.2019.0610
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author Gysi, Deisy Morselli
Nowick, Katja
author_facet Gysi, Deisy Morselli
Nowick, Katja
author_sort Gysi, Deisy Morselli
collection PubMed
description Network approaches have become pervasive in many research fields. They allow for a more comprehensive understanding of complex relationships between entities as well as their group-level properties and dynamics. Many networks change over time, be it within seconds or millions of years, depending on the nature of the network. Our focus will be on comparative network analyses in life sciences, where deciphering temporal network changes is a core interest of molecular, ecological, neuropsychological and evolutionary biologists. Further, we will take a journey through different disciplines, such as social sciences, finance and computational gastronomy, to present commonalities and differences in how networks change and can be analysed. Finally, we envision how borrowing ideas from these disciplines could enrich the future of life science research.
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spelling pubmed-72765452020-06-10 Construction, comparison and evolution of networks in life sciences and other disciplines Gysi, Deisy Morselli Nowick, Katja J R Soc Interface Review Articles Network approaches have become pervasive in many research fields. They allow for a more comprehensive understanding of complex relationships between entities as well as their group-level properties and dynamics. Many networks change over time, be it within seconds or millions of years, depending on the nature of the network. Our focus will be on comparative network analyses in life sciences, where deciphering temporal network changes is a core interest of molecular, ecological, neuropsychological and evolutionary biologists. Further, we will take a journey through different disciplines, such as social sciences, finance and computational gastronomy, to present commonalities and differences in how networks change and can be analysed. Finally, we envision how borrowing ideas from these disciplines could enrich the future of life science research. The Royal Society 2020-05 2020-05-06 /pmc/articles/PMC7276545/ /pubmed/32370689 http://dx.doi.org/10.1098/rsif.2019.0610 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Review Articles
Gysi, Deisy Morselli
Nowick, Katja
Construction, comparison and evolution of networks in life sciences and other disciplines
title Construction, comparison and evolution of networks in life sciences and other disciplines
title_full Construction, comparison and evolution of networks in life sciences and other disciplines
title_fullStr Construction, comparison and evolution of networks in life sciences and other disciplines
title_full_unstemmed Construction, comparison and evolution of networks in life sciences and other disciplines
title_short Construction, comparison and evolution of networks in life sciences and other disciplines
title_sort construction, comparison and evolution of networks in life sciences and other disciplines
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276545/
https://www.ncbi.nlm.nih.gov/pubmed/32370689
http://dx.doi.org/10.1098/rsif.2019.0610
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