ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks
Abstract Community discovery is one of the most challenging tasks in social network analysis. During the last decades, several algorithms have been proposed with the aim of identifying communities in complex networks, each one searching for mesoscale topologies having different and peculiar characte...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-06-01
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| Series: | Applied Network Science |
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| Online Access: | http://link.springer.com/article/10.1007/s41109-020-00270-6 |