Package: oaqc 1.0

Mark Ortmann

oaqc: Computation of the Orbit-Aware Quad Census

Implements the efficient algorithm by Ortmann and Brandes (2017) <doi:10.1007/s41109-017-0027-2> to compute the orbit-aware frequency distribution of induced and non-induced quads, i.e. subgraphs of size four. Given an edge matrix, data frame, or a graph object (e.g., 'igraph'), the orbit-aware counts are computed respective each of the edges and nodes.

Authors:Mark Ortmann [aut, cre], Felix Schoenenberger [aut]

oaqc_1.0.tar.gz
oaqc_1.0.tar.gz(r-4.5-noble)oaqc_1.0.tar.gz(r-4.4-noble)
oaqc_1.0.tgz(r-4.4-emscripten)oaqc_1.0.tgz(r-4.3-emscripten)
oaqc.pdf |oaqc.html✨
oaqc/json (API)

# Install 'oaqc' in R:
install.packages('oaqc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 0.23 score 0 dependencies 1 dependents 14 scripts 368 downloads

Last updated 7 years agofrom:e716c93ec2. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-linux-x86_64NOTESep 03 2024

Exports:oaqc

Dependencies:

Introduction to oaqc

Mark Ortmann

Rendered fromoaqc.Rmdusingknitr::rmarkdownon Sep 03 2024.

Last update: 2017-11-14
Started: 2017-11-14