The VRNetzer platform enables interactive network analysis in Virtual Reality

Data-rich networks can be difficult to interpret beyond a certain size. Here, the authors introduce a platform that uses virtual reality to allow the visual exploration of large networks, while interfacing with data repositories and other analytical methods to improve the interpretation of big data.

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Autores principales:	Sebastian Pirch, Felix Müller, Eugenia Iofinova, Julia Pazmandi, Christiane V. R. Hütter, Martin Chiettini, Celine Sin, Kaan Boztug, Iana Podkosova, Hannes Kaufmann, Jörg Menche
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a9c0ec8e93de4f90bf7ae10005d40be9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:a9c0ec8e93de4f90bf7ae10005d40be92021-12-02T17:33:33ZThe VRNetzer platform enables interactive network analysis in Virtual Reality10.1038/s41467-021-22570-w2041-1723https://doaj.org/article/a9c0ec8e93de4f90bf7ae10005d40be92021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22570-whttps://doaj.org/toc/2041-1723Data-rich networks can be difficult to interpret beyond a certain size. Here, the authors introduce a platform that uses virtual reality to allow the visual exploration of large networks, while interfacing with data repositories and other analytical methods to improve the interpretation of big data.Sebastian PirchFelix MüllerEugenia IofinovaJulia PazmandiChristiane V. R. HütterMartin ChiettiniCeline SinKaan BoztugIana PodkosovaHannes KaufmannJörg MencheNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sebastian Pirch Felix Müller Eugenia Iofinova Julia Pazmandi Christiane V. R. Hütter Martin Chiettini Celine Sin Kaan Boztug Iana Podkosova Hannes Kaufmann Jörg Menche The VRNetzer platform enables interactive network analysis in Virtual Reality
description	Data-rich networks can be difficult to interpret beyond a certain size. Here, the authors introduce a platform that uses virtual reality to allow the visual exploration of large networks, while interfacing with data repositories and other analytical methods to improve the interpretation of big data.
format	article
author	Sebastian Pirch Felix Müller Eugenia Iofinova Julia Pazmandi Christiane V. R. Hütter Martin Chiettini Celine Sin Kaan Boztug Iana Podkosova Hannes Kaufmann Jörg Menche
author_facet	Sebastian Pirch Felix Müller Eugenia Iofinova Julia Pazmandi Christiane V. R. Hütter Martin Chiettini Celine Sin Kaan Boztug Iana Podkosova Hannes Kaufmann Jörg Menche
author_sort	Sebastian Pirch
title	The VRNetzer platform enables interactive network analysis in Virtual Reality
title_short	The VRNetzer platform enables interactive network analysis in Virtual Reality
title_full	The VRNetzer platform enables interactive network analysis in Virtual Reality
title_fullStr	The VRNetzer platform enables interactive network analysis in Virtual Reality
title_full_unstemmed	The VRNetzer platform enables interactive network analysis in Virtual Reality
title_sort	vrnetzer platform enables interactive network analysis in virtual reality
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a9c0ec8e93de4f90bf7ae10005d40be9
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The VRNetzer platform enables interactive network analysis in Virtual Reality

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