Title | ||
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A comparative study of the measures for evaluating community structure in bipartite networks. |
Abstract | ||
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•A memetic algorithm, MACD-BNs, is proposed to find communities in bipartite graphs.•Four global measures are compared by employing MACD-BNs.•The measure of four which has the best relative performance is discovered.•Some measures’ limitations are discovered. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.ins.2018.03.036 | Information Sciences |
Keywords | Field | DocType |
Community detection,Bipartite networks,Global measures | Memetic algorithm,Community structure,Bipartite graph,Artificial intelligence,Complex network,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
448 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 13 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaodong Wang | 1 | 13 | 1.69 |
Jing Liu | 2 | 1043 | 115.54 |