Modelling sequences and temporal networks with dynamic community structures

The description of temporal networks is usually simplified in terms of their dynamic community structures, whose identification however relies on a priori assumptions. Here the authors present a data-driven method that determines relevant timescales for the dynamics and uses it to identify communiti...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Tiago P. Peixoto, Martin Rosvall
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9c4ca19f703645a78bf2ba4f821df8c7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9c4ca19f703645a78bf2ba4f821df8c7
record_format	dspace
spelling	oai:doaj.org-article:9c4ca19f703645a78bf2ba4f821df8c72021-12-02T14:42:55ZModelling sequences and temporal networks with dynamic community structures10.1038/s41467-017-00148-92041-1723https://doaj.org/article/9c4ca19f703645a78bf2ba4f821df8c72017-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00148-9https://doaj.org/toc/2041-1723The description of temporal networks is usually simplified in terms of their dynamic community structures, whose identification however relies on a priori assumptions. Here the authors present a data-driven method that determines relevant timescales for the dynamics and uses it to identify communities.Tiago P. PeixotoMartin RosvallNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Tiago P. Peixoto Martin Rosvall Modelling sequences and temporal networks with dynamic community structures
description	The description of temporal networks is usually simplified in terms of their dynamic community structures, whose identification however relies on a priori assumptions. Here the authors present a data-driven method that determines relevant timescales for the dynamics and uses it to identify communities.
format	article
author	Tiago P. Peixoto Martin Rosvall
author_facet	Tiago P. Peixoto Martin Rosvall
author_sort	Tiago P. Peixoto
title	Modelling sequences and temporal networks with dynamic community structures
title_short	Modelling sequences and temporal networks with dynamic community structures
title_full	Modelling sequences and temporal networks with dynamic community structures
title_fullStr	Modelling sequences and temporal networks with dynamic community structures
title_full_unstemmed	Modelling sequences and temporal networks with dynamic community structures
title_sort	modelling sequences and temporal networks with dynamic community structures
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/9c4ca19f703645a78bf2ba4f821df8c7
work_keys_str_mv	AT tiagoppeixoto modellingsequencesandtemporalnetworkswithdynamiccommunitystructures AT martinrosvall modellingsequencesandtemporalnetworkswithdynamiccommunitystructures
_version_	1718389584176349184

Modelling sequences and temporal networks with dynamic community structures

Ejemplares similares