Exploiting Relational Structure to Understand Publication Patterns in High-Energy

Authors

Amy McGovern, University of Massachusetts - Amherst
Lisa Friedland, University of Massachusetts - Amherst
Michael Hay, University of Massachusetts - Amherst
Brian Gallagher, University of Massachusetts - Amherst
Andrew Fast, University of Massachusetts - Amherst
Jennifer Neville, University of Massachusetts - Amherst
David Jensen, University of Massachusetts - Amherst

Publication Date

1998

Abstract

We analyze publication patterns in theoretical high-energy physics using a relational learning approach. We focus 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 highenergy physics.

Comments

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Recommended Citation

McGovern, Amy; Friedland, Lisa; Hay, Michael; Gallagher, Brian; Fast, Andrew; Neville, Jennifer; and Jensen, David, "Exploiting Relational Structure to Understand Publication Patterns in High-Energy" (1998). Computer Science Department Faculty Publication Series. 16.
Retrieved from https://scholarworks.umass.edu/cs_faculty_pubs/16