GLEAM: a graph clustering framework based on potential game optimization for large-scale social networks
With the growing explosion of online social networks, the study of large-scale graph clustering has attracted considerable interest. Most of traditional methods view the graph clustering problem as an optimization problem based on a given objective function; however, there are few methodical theorie...
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Veröffentlicht in: | Knowledge and information systems 2018-06, Vol.55 (3), p.741-770 |
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Sprache: | eng |
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