Finding Influential Nodes in Sourceforge.net Using Social Network Analysis

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Author(s): K.G. Srinivasa (Chaudhary Brahm Prakash Government Engineering College, India), Ganesh Chandra Deka (M. S. Ramaiah Institute of Technology, India)and Krishnaraj P.M. (M. S. Ramaiah Institute of Technology, India)
Copyright: 2021
Pages: 11
Source title: Research Anthology on Usage and Development of Open Source Software
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9158-1.ch008

Keywords: Computer Science & IT / Information Science Reference / Open Source Software / Systems and Software Engineering

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Abstract

The contribution of volunteers in the development of Free and Open Source Software in Sourceforge.net is studied in this paper. Using Social Network analysis, the small set of developers who can maximize the information flow in the network are discovered. The propagation of top developers across past three years are also studied. The four algorithms used to find top influential developers gives almost similar results. The movement of top developers over past years years was also consistent.

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Finding Influential Nodes in Sourceforge.net Using Social Network Analysis

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