Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11192-020-03465-x.pdf
Reference80 articles.
1. Abramo, G., D’Angelo, C. A., & Zhang, L. (2018). A comparison of two approaches for measuring interdisciplinary research output: The disciplinary diversity of authors vs the disciplinary diversity of the reference list. Journal of Informetrics,12(4), 1182–1193.
2. Ahlgren, P., Jarneving, B., & Rousseau, R. (2003). Requirements for a cocitation similarity measure, with special reference to Pearson’s correlation coefficient. Journal of the American Society for Information Science and Technology,54(6), 550–560.
3. Anderson, K. E. (2018). Getting acquainted with social networks and apps: Combating fake news on social media. Library Hi Tech News,35(3), 1–6.
4. Beauchamp, M. A. (1965). An Improved Index of Centrality. Behavioral Science,10(2), 161–163.
5. Bellanca, L. (2009). Measuring interdisciplinary research: Analysis of co-authorship for research staff at the University of York. Bioscience Horizons,2(2), 99–112.
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