Detecting degree symmetries in networks
| dc.creator | Holme, Petter | |
| dc.date | 2006-05-03 | |
| dc.date.accessioned | 2026-07-07T07:14:53Z | |
| dc.date.available | 2026-07-07T07:14:53Z | |
| dc.description | The surrounding of a vertex in a network can be more or less symmetric. We derive measures of a specific kind of symmetry of a vertex which we call degree symmetry -- the property that many paths going out from a vertex have overlapping degree sequences. These measures are evaluated on artificial and real networks. Specifically we consider vertices in the human metabolic network. We also measure the average degree-symmetry coefficient for different classes of real-world network. We find that most studied examples are weakly positively degree-symmetric. The exceptions are an airport network (having a negative degree-symmetry coefficient) and one-mode projections of social affiliation networks that are rather strongly degree-symmetric. | |
| dc.identifier | https://arxiv.org/abs/physics/0605029 | |
| dc.identifier | http://arxiv.org/abs/physics/0605029 | |
| dc.identifier | Phys. Rev. E 74, 036107 (2006) | |
| dc.identifier | doi:10.1103/PhysRevE.74.036107 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/113067 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | Physics and Society | |
| dc.title | Detecting degree symmetries in networks | |
| dc.type | text |