fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks
Dublin Core
Title
fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks
Subject
social network analysis, network simulation, network metrics, multi-core processing, sampling.
Description
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
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
Creator
Xu Dong
Source
https://www.jstatsoft.org/article/view/v096i07
Publisher
Tamr Inc
Date
November 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Xu Dong, “fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks,” Repository Horizon University Indonesia, accessed February 17, 2025, https://repository.horizon.ac.id/items/show/8173.