DCG: Data Cloud Geometry (DCG): Using Random Walks to Find Community Structure in Social Network Analysis

Data cloud geometry (DCG) applies random walks in finding community structures for social networks. Fushing, VanderWaal, McCowan, & Koehl (2013) (<doi:10.1371/journal.pone.0056259>).

Version: 0.9.3
Depends: R (≥ 2.14.0)
Imports: stats
Suggests: testthat, knitr, rmarkdown, devtools, lattice, png
Published: 2019-04-09
DOI: 10.32614/CRAN.package.DCG
Author: Chen Chen [aut], Jian Jin [aut], Jessica Vandeleest [aut, cre], Brianne Beisner [aut], Brenda McCowan [aut, cph], Hsieh Fushing [aut, cph]
Maintainer: Jessica Vandeleest <vandelee at ucdavis.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Fushing Lab & McCowan Lab, University of California, Davis
NeedsCompilation: no
Materials: NEWS
CRAN checks: DCG results


Reference manual: DCG.pdf
Vignettes: Introduction to DCG


Package source: DCG_0.9.3.tar.gz
Windows binaries: r-devel: DCG_0.9.3.zip, r-release: DCG_0.9.3.zip, r-oldrel: DCG_0.9.3.zip
macOS binaries: r-release (arm64): DCG_0.9.3.tgz, r-oldrel (arm64): DCG_0.9.3.tgz, r-release (x86_64): DCG_0.9.3.tgz, r-oldrel (x86_64): DCG_0.9.3.tgz
Old sources: DCG archive


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