R programming for social network analysis - a review

Abstract

Social network data have become richer and easier to collect, but that has pushed the borders of the prior art of advanced networks. Therefore, capability of scaling social network is not simply in terms of these advanced networks. However, with the advent of social network, network analysis has always been committed to the development and interaction with social network analysis (SNA). Because of the emergence of continuous SNA in the current state of technological progress, analyzing social network is more conducive to individuals and organizations to make a better future. Even though there are various programming languages which can be used for SNA, this article focuses on use of R programming language due to its huge library of packages. With this background, this article presents a review on R programming in various types of SNA and related issues for best practices.