Package: modMax 1.1

Maria Schelling

modMax: Community Structure Detection via Modularity Maximization

The algorithms implemented here are used to detect the community structure of a network. These algorithms follow different approaches, but are all based on the concept of modularity maximization.

Authors:Maria Schelling, Cang Hui

modMax_1.1.tar.gz
modMax_1.1.tar.gz(r-4.5-noble)modMax_1.1.tar.gz(r-4.4-noble)
modMax_1.1.tgz(r-4.4-emscripten)modMax_1.1.tgz(r-4.3-emscripten)
modMax.pdf |modMax.html
modMax/json (API)

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

Peer review:

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

1.30 score 2 stars 10 scripts 148 downloads 1 mentions 18 exports 12 dependencies

Last updated 9 years agofrom:13a36b0b6b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-linuxOKNov 21 2024

Exports:cdextremalOptimizationgeneticAlgorithmgreedylocalModularitylocalModularityWanglouvainmomemsgvmmultiWaypcseossrgplussaIndividualCollectiveMovessimulatedAnnealingspectral1spectral2spectralOptimizationvertexSim

Dependencies:clicpp11gluegtoolsigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs

Readme and manuals

Help Manual

Help pageTopics
Calculate network modularity via maximization algorithmsmodMax-package modMax
Extremal optimization (EO) algorithmsextremalOptimization pcseoss
Genetic algorithmgeneticAlgorithm
Greedy algorithmscd greedy louvain mome msgvm rgplus vertexSim
Algorithms using local modularitylocalModularity localModularityWang
Simulated annealing algorithmssaIndividualCollectiveMoves simulatedAnnealing
Spectral optimization algorithmsmultiWay spectral1 spectral2 spectralOptimization