Exploiting relational structure to understand publication patterns in high-energy physics

Authors:
Amy McGovern;Lisa Friedland;Michael Hay;Brian Gallagher;Andrew Fast;Jennifer Neville;David Jensen
Affiliations:
University of Massachusetts Amherst, Amherst, MA;University of Massachusetts Amherst, Amherst, MA;University of Massachusetts Amherst, Amherst, MA;University of Massachusetts Amherst, Amherst, MA;University of Massachusetts Amherst, Amherst, MA;University of Massachusetts Amherst, Amherst, MA;University of Massachusetts Amherst, Amherst, MA
Venue:
ACM SIGKDD Explorations Newsletter
Year:
2003

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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 high-energy physics.