| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10481993 | Physica A: Statistical Mechanics and its Applications | 2012 | 12 Pages |
Abstract
⺠We use eigenvectors of the clumpiness matrix to identify network communities. ⺠A projection space is constructed using the eigenvectors. ⺠Accumulation of points in branches reveals communities. ⺠Eigenvectors are in fact spin-like states of the clumpiness matrix as a Hamiltonian. ⺠The method shows a good performance in artificial and real-world networks
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Ali Faqeeh, Keivan Aghababaei Samani,