Using machine learning techniques for rising star prediction in co-author network

Volume: 102, Issue: 2, Pages: 1687 - 1711
Published: Oct 15, 2014
Abstract
Online bibliographic databases are powerful resources for research in data mining and social network analysis especially co-author networks. Predicting future rising stars is to find brilliant scholars/researchers in co-author networks. In this paper, we propose a solution for rising star prediction by applying machine learning techniques. For classification task, discriminative and generative modeling techniques are considered and two...
Paper Details
Title
Using machine learning techniques for rising star prediction in co-author network
Published Date
Oct 15, 2014
Volume
102
Issue
2
Pages
1687 - 1711
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.