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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:13a36b0b6b. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 21 2024 |
| R-4.5-linux | OK | Dec 21 2024 |
Exports:cdextremalOptimizationgeneticAlgorithmgreedylocalModularitylocalModularityWanglouvainmomemsgvmmultiWaypcseossrgplussaIndividualCollectiveMovessimulatedAnnealingspectral1spectral2spectralOptimizationvertexSim
Dependencies:clicpp11gluegtoolsigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate network modularity via maximization algorithms | modMax-package modMax |
| Extremal optimization (EO) algorithms | extremalOptimization pcseoss |
| Genetic algorithm | geneticAlgorithm |
| Greedy algorithms | cd greedy louvain mome msgvm rgplus vertexSim |
| Algorithms using local modularity | localModularity localModularityWang |
| Simulated annealing algorithms | saIndividualCollectiveMoves simulatedAnnealing |
| Spectral optimization algorithms | multiWay spectral1 spectral2 spectralOptimization |