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Descripción
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| Mutually beneficial interactions between two agent classes, such as plant-pollinator or plant-seed disperser, are best represented by weighted mutualistic bipartite networks. Those networks have been repeatedly reported to show a nested structure. While several metrics for measuring nestedness in weighted mutualistic networks have been proposed in the past few years, most dynamic models in the literature aim to reproduce just the binary nested structure ignoring the development of the weighted pattern. We introduce a simple dynamic model based on a modified preferential attachment rule for bipartite networks. Our model simulates the growth of a mutualistic network generating weighted interaction matrices that we compare with empirical data from several real biological networks. The resulting network shows a power-law degree distribution in both cases: plants and animals. Furthermore, the model reproduces accurately the nestedness behavior. | |
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Internacional
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Si |
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Nombre congreso
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XXXIII Dynamics Days Europe [www.dynamics-days-europe-2013.org] |
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Tipo de participación
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960 |
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Lugar del congreso
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Madrid |
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Revisores
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Si |
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ISBN o ISSN
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978-84-15302-43-8 |
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DOI
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Fecha inicio congreso
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03/06/2013 |
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Fecha fin congreso
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07/06/2013 |
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Desde la página
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137 |
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Hasta la página
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137 |
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Título de las actas
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XXXIII Dynamics Days Europe. Book of Abstracts [www.dynamics-days-europe-2013.org/DDEXXXIII-AbstractsBook.pdf] |