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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.

active 2024-06-012024-10-29 (UTC)

Partial coverage17,311 / 22,176 hourly files (78%) · 2 absent upstream · 4,864 failed, retryable2024-01-312026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
35
Pushes
21
Pull requests
0
Issues
4
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 151 days from 2024-06-01 to 2024-10-29. Pushes: 21 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 2 in a day. Comments: 4 total, peak 3 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ragibson292104

Recent activity

Latest issues, pull requests and releases

  • Releaseragibson2024-10-29 03:11
    v1.4.1
  • Issue comment#7ragibson2024-10-29 02:51
    Add Leiden modularity optimization
  • Releaseragibson2024-06-05 02:42
    v1.4.0
  • Issue comment#11ragibson2024-06-04 23:55
    Add tests for all major documented functions
  • Issue#11ragibson2024-06-04 23:55
    Add tests for all major documented functions
  • Issue#13ragibson2024-06-04 04:12
    Reinvestigate recent Python parallelism / multiprocessing improvements
  • Issue comment#13ragibson2024-06-04 04:12
    Reinvestigate recent Python parallelism / multiprocessing improvements
  • Issue comment#13ragibson2024-06-04 03:38
    Reinvestigate recent Python parallelism / multiprocessing improvements
  • Issue#10ragibson2024-06-01 18:03
    Reconsider warnings on multilayer leiden usage and low omega_end
  • Issue#12ragibson2024-06-01 17:06
    Document basic description of temporal vs. multilevel vs. multiplex networks

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.