Measuring discursive influence across scholarship
Abstract
Scientific and scholarly influence is multifaceted, shifts over time, and varies across disciplines. We present a dynamic topic model to credit documents with influence that shapes future discourse based on their content and contextual features. We trace discursive innovation in scholarship and identify the influence of particular articles along with their authors, affiliations, and journals. In collections of science, social science, and humanities research spanning over a century, our measure helps predict citations and reveals signals that recognize authors who make diverse contributions and whose contributions take longer to be appreciated, allowing us to compensate for bias in citation behavior.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 12, 2018
- Source ID
- 10.1073/pnas.1719792115
Entities
People
- Aaron Gerow
- David M. Blei
- James A. Evans
- Jordan Boyd-graber
- Yuening Hu
Organizations
- Air Force Office of Scientific Research
- Columbia University
- Goldsmiths, University of London
- John Templeton Foundation
- National Science Foundation
- University of Chicago
- University of Maryland