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 language | English (US) |
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Pages (from-to) | 1-23 |
Number of pages | 23 |
Journal | Journal of Statistical Software |
Volume | 96 |
DOIs | |
State | Published - 2020 |
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