Name
Title | ||
|---|---|---|
An energy-based heterogeneity measure for quantifying structural irregularity in complex networks. |
Abstract | ||
|---|---|---|
•We propose a novel yet efficient normalized measure for quantifying the structural heterogeneity characteristics of graphs.•The proposed measure is based on the difference between energy and Laplacian energy.•The simulation results imply that the proposed measure has lower bound 0 and upper bound 1, for regular graphs and star-like graphs, respectively.•The proposed measure can identify the structural topological differences of synthetic and real-world complex networks. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jocs.2019.06.008 | Journal of Computational Science |
Keywords | Field | DocType |
Complex networks,Graph energy,Graph laplacian energy,And graph irregularity measures | Graph,Spectral graph theory,Computer science,Upper and lower bounds,Algorithm,Theoretical computer science,Complex network,Laplace operator | Journal |
Volume | ISSN | Citations |
36 | 1877-7503 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farshad Safaei | 1 | 95 | 19.37 |
| sepehr tabrizchi | 2 | 6 | 3.34 |
| Amir H. Hadian-Rasanan | 3 | 0 | 0.34 |
| M. Zare | 4 | 0 | 0.34 |