Descripción
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In this work, we discuss how a classical graph analysis tool, the k-core decomposition, sheds light on the understanding of mutualistic networks. It offers a new vision of the structure both at local and global scales. We define three magnitudes using the k properties. First, k-radius describes network compactness. Second, k-degree maps the degree onto a finer grain distribution. Finally, k-risk, an index to identify species whose disappearance poses a greater threat to the network. They provide efficient rankings to evaluate robustness. | |
Internacional
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No |
Nombre congreso
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XXI Congreso de Física Estadística (FisEs17) [https://fises17.gefenol.es/] |
Tipo de participación
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970 |
Lugar del congreso
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Sevilla, España |
Revisores
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Si |
ISBN o ISSN
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CDP08UPM |
DOI
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Fecha inicio congreso
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30/03/2017 |
Fecha fin congreso
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01/04/2017 |
Desde la página
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60 |
Hasta la página
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60 |
Título de las actas
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FisEs17 - XXI Congreso de Física Estadística- LIBRO DE RESÚMENES [https://fises17.gefenol.es/media/uploads/editor/2017/03/28/libro_resumenes_fises17.pdf] |