A Pólya urn approach to information filtering in complex networks
With ever-growing datasets, it is useful to filter out details and keep only the links that carry the relevant structural information. Here the authors generalize the disparity filter by providing a tolerance parameter that can be used to tune how strict the filter is in the selection of edges to pr...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2019
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/bb014bda01ef432cb2efb40ee94ab90b |
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| Sumario: | With ever-growing datasets, it is useful to filter out details and keep only the links that carry the relevant structural information. Here the authors generalize the disparity filter by providing a tolerance parameter that can be used to tune how strict the filter is in the selection of edges to preserve. |
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