Cost-based analyses of random neighbor and derived sampling methods
Abstract Random neighbor sampling, or RN, is a method for sampling vertices with a mean degree greater than that of the graph. Instead of naïvely sampling a vertex from a graph and retaining it (‘random vertex’ or RV), a neighbor of the vertex is selected instead. While considerable research has ana...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SpringerOpen
2022-06-01
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| Col·lecció: | Applied Network Science |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s41109-022-00475-x |
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