Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics
McGovern, A., L. Friedland, M. Hay, B. Gallagher, A. Fast, J. Neville, D. Jensen (2003). Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explorations 5(2):165-173.
(Winning entry: KDD Cup 2003 Open Task, 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining)
- Abstract
- We analyze publication patterns in theoretical high-energy physics using a relational learning approach. We focus our analyses on four related areas: understanding and identifying patterns of citations, examining publication patterns at the author level, predicting whether a paper will be accepted by specific journals, and identifying research communities from the citation patterns and paper text. Each of these analyses contributes to an overall understanding of theoretical high-energy physics that could not have been achieved without examining each area in detail.
- Text
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