在github中分析r语言开发人员的影响力指标

Duong Quoc Hoang Tu, A. Kravets, T. V. Nguyen, I. V. Strukova
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引用次数: 0

摘要

Social Programming Sites (SPSs)是用于在Internet上共享软件开发项目的社交网络服务。许多开源项目目前正在SPSs上开发。SPSs的一个特点是,它们提供了一个社交媒体平台,鼓励具有相似兴趣和目标的开发人员之间进行协作。本文提出了一种将Github SPSs图作为异构网络形成的方法。在此方法的基础上,研究了确定最常用R包的开发人员的度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF THE INFLUENCE METRIC OF DEVELOPERS IN THE R LANGUAGE IN THE GITHUB
Social Programming Sites (SPSs) are social networking services for sharing software devel-opment projects on the Internet. Many open source projects are currently being developed on the SPSs. One of the characteristics of SPSs is that they provide a social media platform that encourages collaboration between developers with similar interests and goals. The article proposes an approach to the formation of a Github SPSs graph as a heterogeneous network. On the basis of this approach, the metric of determining the developers of the most used R packages is investigated.
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