Name
Abstract | ||
|---|---|---|
Detecting core-periphery structures is one of the outstanding issues in complex network analysis. Various algorithms can identify core nodes and periphery nodes. Recent advances found that many networks from real-world data can be better modeled with multiple pairs of core-periphery nodes. In this study, we propose to use an influence propagation process to detect multiple pairs of core-periphery ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TNSE.2021.3138436 | IEEE Transactions on Network Science and Engineering |
Keywords | DocType | Volume |
Detection algorithms,Complex networks,Image edge detection,Periodic structures,Stochastic processes,Psychology,Proteins | Journal | 9 |
Issue | ISSN | Citations |
2 | 2327-4697 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Shen | 1 | 0 | 0.34 |
| Sarah Aliko | 2 | 0 | 0.34 |
| Yue Han | 3 | 0 | 0.34 |
| Jeremy Skipper | 4 | 0 | 0.34 |
| Chengbin Peng | 5 | 0 | 0.34 |