A Graph Theory approach to assess nature’s contribution to people at a global scale

Abstract The use of Graph Theory on social media data is a promising approach to identify emergent properties of the complex physical and cognitive interactions that occur between humans and nature. To test the effectivity of this approach at global scales, Instagram posts from fourteen natural area...

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Autores principales:	Silvia de Juan, Andrés Ospina-Álvarez, Sebastián Villasante, Ana Ruiz-Frau
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/84b34b44897e48849004e82f1ae89fba
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spelling	oai:doaj.org-article:84b34b44897e48849004e82f1ae89fba2021-12-02T14:53:42ZA Graph Theory approach to assess nature’s contribution to people at a global scale10.1038/s41598-021-88745-z2045-2322https://doaj.org/article/84b34b44897e48849004e82f1ae89fba2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88745-zhttps://doaj.org/toc/2045-2322Abstract The use of Graph Theory on social media data is a promising approach to identify emergent properties of the complex physical and cognitive interactions that occur between humans and nature. To test the effectivity of this approach at global scales, Instagram posts from fourteen natural areas were selected to analyse the emergent discourse around these areas. The fourteen areas, known to provide key recreational, educational and heritage values, were investigated with different centrality metrics to test the ability of Graph Theory to identify variability in ecosystem social perceptions and use. Instagram data (i.e., hashtags associated to photos) was analysed with network centrality measures to characterise properties of the connections between words posted by social media users. With this approach, the emergent properties of networks of hashtags were explored to characterise visitors’ preferences (e.g., cultural heritage or nature appreciation), activities (e.g., diving or hiking), preferred habitats and species (e.g., forest, beach, penguins), and feelings (e.g., happiness or place identity). Network analysis on Instagram hashtags allowed delineating the users’ discourse around a natural area, which provides crucial information for effective management of popular natural spaces for people.Silvia de JuanAndrés Ospina-ÁlvarezSebastián VillasanteAna Ruiz-FrauNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Silvia de Juan Andrés Ospina-Álvarez Sebastián Villasante Ana Ruiz-Frau A Graph Theory approach to assess nature’s contribution to people at a global scale
description	Abstract The use of Graph Theory on social media data is a promising approach to identify emergent properties of the complex physical and cognitive interactions that occur between humans and nature. To test the effectivity of this approach at global scales, Instagram posts from fourteen natural areas were selected to analyse the emergent discourse around these areas. The fourteen areas, known to provide key recreational, educational and heritage values, were investigated with different centrality metrics to test the ability of Graph Theory to identify variability in ecosystem social perceptions and use. Instagram data (i.e., hashtags associated to photos) was analysed with network centrality measures to characterise properties of the connections between words posted by social media users. With this approach, the emergent properties of networks of hashtags were explored to characterise visitors’ preferences (e.g., cultural heritage or nature appreciation), activities (e.g., diving or hiking), preferred habitats and species (e.g., forest, beach, penguins), and feelings (e.g., happiness or place identity). Network analysis on Instagram hashtags allowed delineating the users’ discourse around a natural area, which provides crucial information for effective management of popular natural spaces for people.
format	article
author	Silvia de Juan Andrés Ospina-Álvarez Sebastián Villasante Ana Ruiz-Frau
author_facet	Silvia de Juan Andrés Ospina-Álvarez Sebastián Villasante Ana Ruiz-Frau
author_sort	Silvia de Juan
title	A Graph Theory approach to assess nature’s contribution to people at a global scale
title_short	A Graph Theory approach to assess nature’s contribution to people at a global scale
title_full	A Graph Theory approach to assess nature’s contribution to people at a global scale
title_fullStr	A Graph Theory approach to assess nature’s contribution to people at a global scale
title_full_unstemmed	A Graph Theory approach to assess nature’s contribution to people at a global scale
title_sort	graph theory approach to assess nature’s contribution to people at a global scale
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/84b34b44897e48849004e82f1ae89fba
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A Graph Theory approach to assess nature’s contribution to people at a global scale

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