https://github.com/atarashansky/louvain_surprise
Science Score: 59.0%
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Low similarity (2.8%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: atarashansky
- Language: Python
- Default Branch: master
- Size: 9.77 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 7 years ago
· Last pushed over 7 years ago
Metadata Files
Readme
README.md
Louvain clustering using asymptotic surprise
Python-only implementation based on this paper:
https://journals.aps.org/pre/pdf/10.1103/PhysRevE.92.022816
Function to call:
cluster_labels= louvain_surprise(nn,remove_self_loops=True,init = None)
nn: directed, weighted or unweighted adjacency matrix
remove_self_loops: if True, remove all self loops in the graph prior to clustering.
init: Initial partition. If None, each node starts off as its own community.
returns cluster_labels: cluster assignments for each node
Requirements: Numba and Numpy
Owner
- Login: atarashansky
- Kind: user
- Repositories: 3
- Profile: https://github.com/atarashansky
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| Name | Commits | |
|---|---|---|
| atarashansky | t****n@s****u | 9 |
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stanford.edu: 1
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