ANALYSIS OF THE INFLUENCE METRIC OF DEVELOPERS IN THE R LANGUAGE IN THE GITHUB

Abstract

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.