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-4.5)fastnet_0.1.3.zip(r-4.4)fastnet_0.1.3.zip(r-4.3)
fastnet_0.1.3.tgz(r-4.4-any)fastnet_0.1.3.tgz(r-4.3-any)
fastnet_0.1.3.tar.gz(r-4.5-noble)fastnet_0.1.3.tar.gz(r-4.4-noble)
fastnet_0.1.3.tgz(r-4.4-emscripten)fastnet_0.1.3.tgz(r-4.3-emscripten)
fastnet.pdf |fastnet.html✨
fastnet/json (API)
NEWS
| # 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 7 years agofrom:c4945dec2d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 05 2024 |
| R-4.5-win | OK | Sep 05 2024 |
| R-4.5-linux | OK | Sep 05 2024 |
| R-4.4-win | OK | Sep 05 2024 |
| R-4.4-mac | OK | Sep 05 2024 |
| R-4.3-win | OK | Sep 05 2024 |
| R-4.3-mac | OK | Sep 05 2024 |
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
