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fastnet  

Large-Scale Social Network Analysis
View on CRAN: Click here


Download and install fastnet package within the R console
Install from CRAN:
install.packages("fastnet")

Install from Github:
library("remotes")
install_github("cran/fastnet")

Install by package version:
library("remotes")
install_version("fastnet", "1.0.0")



Attach the package and use:
library("fastnet")
Maintained by
Nazrul Shaikh
[Scholar Profile | Author Map]
First Published: 2016-12-30
Latest Update: 2020-12-01
Description:
We present an implementation of the algorithms required to simulate large-scale social networks and retrieve their most relevant metrics. Details can be found in the accompanying scientific paper on the Journal of Statistical Software, .
How to cite:
Nazrul Shaikh (2016). fastnet: Large-Scale Social Network Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/fastnet. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.1 (2016-12-30 10:12), 0.1.2 (2017-02-28 10:59), 0.1.3 (2017-06-05 23:57), 0.1.4 (2018-02-12 21:23), 0.1.5 (2018-07-05 08:50), 0.1.6 (2018-09-11 08:00)
Other packages that cited fastnet R package
View fastnet citation profile
Other R packages that fastnet depends, imports, suggests or enhances
Complete documentation for fastnet
Functions, R codes and Examples using the fastnet R package
Some associated functions: degree.collect . degree.dist . degree.hist . draw.net . from.adjacency . from.edgelist . from.igraph . from.statnet . get.neighbors . metric.cluster.global . metric.cluster.mean . metric.cluster.median . metric.degree.effective . metric.degree.entropy . metric.degree.max.efficient . metric.degree.max . metric.degree.mean . metric.degree.median . metric.degree.min . metric.degree.sd . metric.distance.apl . metric.distance.diameter . metric.distance.effdia . metric.distance.meanecc . metric.distance.medianecc . metric.distance.mpl . metric.eigen.mean . metric.eigen.median . metric.eigen.value . metric.graph.density . net.barabasi.albert . net.caveman . net.cluster.affiliation . net.complete . net.degree.constraint . net.erdos.renyi.gnm . net.erdos.renyi.gnp . net.holme.kim . net.random.plc . net.rewired.caveman . net.ring.lattice . net.watts.strogatz . preview.deg . preview.net . to.edgelist . to.igraph . to.tidygraph . 
Some associated R codes: degree.collect.R . degree.dist.R . degree.hist.R . draw.net.R . from.adjacency.R . from.edgelist.R . from.igraph.R . from.statnet.R . get.neighbors.R . metric.cluster.global.R . metric.cluster.mean.R . metric.cluster.median.R . metric.degree.effective.R . metric.degree.entropy.R . metric.degree.max.R . metric.degree.max.efficient.R . metric.degree.mean.R . metric.degree.median.R . metric.degree.min.R . metric.degree.sd.R . metric.distance.apl.R . metric.distance.diameter.R . metric.distance.effdia.R . metric.distance.meanecc.R . metric.distance.medianecc.R . metric.distance.mpl.R . metric.eigen.mean.R . metric.eigen.median.R . metric.eigen.value.R . metric.graph.density.R . net.barabasi.albert.R . net.caveman.R . net.cluster.affiliation.R . net.complete.R . net.degree.constraint.R . net.erdos.renyi.gnm.R . net.erdos.renyi.gnp.R . net.holme.kim.R . net.random.plc.R . net.rewired.caveman.R . net.ring.lattice.R . net.watts.strogatz.R . preview.deg.R . preview.net.R . to.edgelist.R . to.igraph.R . to.tidygraph.R .  Full fastnet package functions and examples
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