fastnet:一个用于大规模社会网络快速模拟和分析的R包

IF 5.4 2区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Software Pub Date : 2020-12-05 DOI:10.2139/ssrn.3121725

Xu Dong, Luis E. Castro, N. I. Shaikh

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引用次数: 3

摘要

用于社交网络分析的传统工具和软件很少具有可扩展性和/或快速性。本文提供了一个名为fastnet的R包的概述，fastnet是一个用于扩展和加速大规模社交网络模拟和分析的工具。Fastnet使用多核处理和子图采样算法来实现所需的扩展和加速。本文给出了一些简单的例子、用法以及与其他R包(即igraph和statnet)相比的scale-up和speed-up的比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks

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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来源期刊

Journal of Statistical Software 工程技术-计算机：跨学科应用

CiteScore

10.70

自引率

1.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.