Fastnet: An r package for fast simulation and analysis of large-scale social networks

Xu Dong, Luis Castro, Nazrul Shaikh

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)1-23
Number of pages23
JournalJournal of Statistical Software
Volume96
DOIs
StatePublished - 2020
Externally publishedYes

Keywords

  • Multi-core process-ing
  • Network metrics
  • Network simulation
  • Sampling
  • Social network analysis

ASJC Scopus subject areas

  • Software
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint Dive into the research topics of 'Fastnet: An r package for fast simulation and analysis of large-scale social networks'. Together they form a unique fingerprint.

Cite this