Name
Abstract | ||
|---|---|---|
In this paper, a modified degree-based strategy is proposed for pinning control of complex networks under constrained control capacity. Limited by the total control strength, the pinning strategy design problem is reconsidered as a constrained optimization problem. To provide a fast and effective solution, a decrease-and-conquer approach has been designed to assign the best control strengths to the pinned highest-degree nodes. Simulation results have demonstrated that the obtained strategy provides an outperformed control effect on various kinds of complex networks, as compared with strategies derived from degree, betweenness or closeness using evenly-distributed control strength. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1142/S021812741002668X | INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS |
Keywords | DocType | Volume |
Complex networks, degree-based strategy, pinning control | Journal | 20 |
Issue | ISSN | Citations |
5 | 0218-1274 | 4 |
PageRank | References | Authors |
0.61 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. S. Tang | 1 | 1288 | 127.58 |
| Ng Ka-ho | 2 | 107 | 10.24 |
| Qiang Jia | 3 | 4 | 0.61 |