Modularity-based graph partitioning using conditional expected models
Modularity-based partitioning methods divide networks into modules by comparing their structure against random networks conditioned to have the same number of nodes, edges, and degree distribution. We propose a novel way to measure modularity and divide graphs, based on conditional probabilities of...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Physical Society,
2019-06-24T17:27:38Z.
|
| Subjects: | |
| Online Access: | Get fulltext |