Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Finding Influential Nodes in Using Social Network Analysis

Finding Influential Nodes in Using Social Network Analysis
View Sample PDF
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


View Finding Influential Nodes in Using Social Network Analysis on the publisher's website for pricing and purchasing information.


The contribution of volunteers in the development of Free and Open Source Software in 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.

Related Content

Karl-Michael Popp. © 2023. 17 pages.
Marco Berlinguer. © 2023. 32 pages.
Laetitia Marie Thomas, Karine Evrard-Samuel, Peter Troxler. © 2023. 30 pages.
RenĂª de Souza Pinto. © 2023. 48 pages.
Francisco Jose Monaco. © 2023. 47 pages.
Marcelo Schmitt, Paulo Meirelles. © 2023. 25 pages.
Hillary Nyakundi, Cesar Henrique De Souza. © 2023. 39 pages.
Body Bottom