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Assessing the impact of the density and sparsity of the network on community detection using a Gaussian mixture random partition graph generator
Identification of sub-networks within a network is essential to understand the functionality of a network. This process is called as ’Community detection’. There are various existing community detection algorithms, and the performance of these algorithms can be varied based on the network structure....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Singapore
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794047/ https://www.ncbi.nlm.nih.gov/pubmed/35106437 http://dx.doi.org/10.1007/s41870-022-00873-5 |