Name
Abstract | ||
|---|---|---|
•We developed a new node-center symmetry measurement for complex networks.•The symmetry values were compared among six network models as well as four real-world networks.•By using principal component analysis we obtained distinctive signatures of symmetry for each considered network. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.ins.2015.11.014 | Information Sciences |
Keywords | Field | DocType |
Symmetry,Complex networks,Concentric,Measurements | Topology,Automorphism,Betweenness centrality,Artificial intelligence,Complex network,Voronoi diagram,Random geometric graph,Machine learning,Homogeneous space,Mathematics,Principal component analysis,Network model | Journal |
Volume | Issue | ISSN |
333 | C | 0020-0255 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Filipi Nascimento Silva | 1 | 62 | 8.15 |
| Cesar H. Comin | 2 | 13 | 7.40 |
| Thomas K. D. M. Peron | 3 | 11 | 2.64 |
| Francisco A. Rodrigues | 4 | 120 | 14.16 |
| cheng ye | 5 | 17 | 5.86 |
| Richard C. Wilson | 6 | 1754 | 137.60 |
| Edwin R. Hancock | 7 | 5432 | 462.92 |
| Luciano da F. Costa | 8 | 357 | 34.63 |