Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Xu Dong, Luis Castro, Nazrul Shaikh
Title: fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks
Abstract: Traditional tools and software for social network analysis are seldom scalable and/or fast. This paper provides an overview of an R package called fastnet, a tool for scaling and speeding up the simulation and analysis of large-scale social networks. fastnet uses multi-core processing and sub-graph sampling algorithms to achieve the desired scale-up and speed-up. Simple examples, usages, and comparisons of scale-up and speed-up as compared to other R packages, i.e., igraph and statnet, are presented.

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Paper: fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks     Download PDF (Downloads: 465)
Supplements:
fastnet_1.0.0.tar.gz: R source package Download (Downloads: 32; 32KB)
v96i07.R: R replication code Download (Downloads: 37; 7KB)
twitter_combined.txt.bz2: Replication data (bzip2 with text file) Download (Downloads: 28; 8MB)

DOI: 10.18637/jss.v096.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.