Package: fastnet 0.1.3
fastnet: Large-Scale Social Network Analysis
We present an implementation of the algorithms required to simulate large-scale social networks and retrieve their most relevant metrics.
Authors:
fastnet_0.1.3.tar.gz
fastnet_0.1.3.zip(r-4.7-any)fastnet_0.1.3.zip(r-4.6-any)fastnet_0.1.3.zip(r-4.5-any)
fastnet_0.1.3.tgz(r-4.6-any)fastnet_0.1.3.tgz(r-4.5-any)
fastnet_0.1.3.tar.gz(r-4.7-any)fastnet_0.1.3.tar.gz(r-4.6-any)
fastnet_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fastnet/json (API)
| # Install 'fastnet' in R: |
| install.packages('fastnet', repos = c('https://networkgroupr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/networkgroupr/fastnet/issues
Last updated from:c4945dec2d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 101 | ||
| source / vignettes | OK | 177 | ||
| linux-release | OK | 195 | ||
| macos-release | OK | 82 | ||
| macos-oldrel | OK | 81 | ||
| windows-devel | OK | 58 | ||
| windows-release | OK | 61 | ||
| windows-oldrel | OK | 60 | ||
| wasm-release | OK | 89 |
Exports:dist.degdraw.degdistdraw.degdist.cumdraw.degdist.cum.logdraw.degdist.logdraw.netfrom.adjacencyfrom.edgelistfrom.igraphhisto.distmetric.cluster.globalmetric.cluster.meanmetric.cluster.medianmetric.degree.effectivemetric.degree.entropymetric.degree.maxmetric.degree.max.efficientmetric.degree.meanmetric.degree.medianmetric.degree.minmetric.degree.sdmetric.distance.aplmetric.distance.diametermetric.distance.effdiametric.distance.meaneccmetric.distance.medianeccmetric.distance.mplmetric.eigen.meanmetric.eigen.medianmetric.eigen.valuemetric.graph.densityneighborsnet.barabasi.albertnet.cavemannet.completenet.erdos.renyi.gnmnet.erdos.renyi.gnpnet.holme.kimnet.random.plcnet.rewired.cavemannet.ring.latticenet.watts.strogatzpreview.degpreview.net
Dependencies:clicodetoolscpp11doParallelforeachglueigraphiteratorslatticelifecyclemagrittrMatrixpkgconfigrlangvctrs
