GitHub / ragibson / ModularityPruning
Pruning tool to identify small subsets of network partitions that are significant from the perspective of stochastic block model inference. This method works for single-layer and multi-layer networks, as well as for restricting focus to a fixed number of communities when desired.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ragibson%2FModularityPruning
Stars: 16
Forks: 2
Open issues: 3
License: mit
Language: Python
Size: 2.68 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: 3 months ago
Pushed at: 6 months ago
Last synced at: 10 days ago
Commit Stats
Commits: 180
Authors: 2
Mean commits per author: 90.0
Development Distribution Score: 0.472
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/ragibson/ModularityPruning
Topics: community-detection, graph-theory, modularity, multilayer-networks, network-graph, network-science, pruning, stochastic-block-model