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sna: Tools for Social Network Analysis

A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.

Version: 2.8
Depends: R (≥ 2.0.0), utils, statnet.common, network
Suggests: rgl, numDeriv, SparseM
Published: 2024-09-08
DOI: 10.32614/CRAN.package.sna
Author: Carter T. Butts [aut, cre, cph]
Maintainer: Carter T. Butts <buttsc at uci.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://statnet.org
NeedsCompilation: yes
Materials: ChangeLog
In views: Bayesian, GraphicalModels, Optimization
CRAN checks: sna results

Documentation:

Reference manual: sna.pdf

Downloads:

Package source: sna_2.8.tar.gz
Windows binaries: r-devel: sna_2.8.zip, r-release: sna_2.8.zip, r-oldrel: sna_2.8.zip
macOS binaries: r-release (arm64): sna_2.8.tgz, r-oldrel (arm64): sna_2.8.tgz, r-release (x86_64): sna_2.8.tgz, r-oldrel (x86_64): sna_2.8.tgz
Old sources: sna archive

Reverse dependencies:

Reverse depends: bipartite, CEoptim, cssTools, EloRating, GGPA, ndtv, NetCluster, relevent, SSrat, statnet
Reverse imports: BANAM, BasketballAnalyzeR, BGGM, bootcluster, btergm, CEMiTool, CINNA, CluMSID, ClusTCR2, concorR, conserveR, dnr, ecoCopula, econet, EGAnet, ergMargins, fglsnet, ftsspec, gatom, GGMncv, GGMnonreg, ggnetwork, haplotypes, intensitynet, ITNr, keyplayer, latentnet, Linkage, metanetwork, mlergm, MRPC, netdiffuseR, netmap, netmediate, netplot, networkABC, NetworkExtinction, quanteda.textplots, sfc, spaceNet, statnetWeb, VBLPCM, WOTPLY
Reverse suggests: asnipe, bigergm, blockmodeling, discourseGT, equateIRT, ergm, ergmito, GGally, GUEST, manynet, miaSim, MSG, network, PhosR, pkggraph, QuantNorm, RGraph2js, sand, tip, tsna, vivid, webSDM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sna to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.