Research Paper Influence Measurement and Applications: A Machine-Learning-Based Approach

Abstract:

Measuring the influence of academic research publication is an meaningful work in academe. In this paper, the co-author and the citation networks are built to calculate the influence of a researcher and a paper in the way of networks separately with the discussion of further applications. At the beginning, the co-author network is built to determine the influence of co-authors. Then, based on the citations among the papers in the database, we build up the citation network with the help of graph theory. Thirdly, the method is implemented with the application of American Airline network analysis. As the final, the analysis of strengths and weaknesses is conducted.

• Periodical: Advanced Materials Research (Volumes 1049-1050)
• Pages: 2073-2078
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.2073
• Online since: October 2014
• Authors: San Shan Du*, Yue Chun Wu
• Keywords: Damping Factor, Graph Theory, Influence Measure, Network Analysis, Text Analysis, Web Crawler

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