Towards a typology of research performance diversity: the case of top Hungarian players
Measuring the intellectual diversity encoded in publication records as a proxy to the degree of interdisciplinarity has recently received considerable attention in the science mapping community. The present paper draws upon the use of the Stirling index as a diversity measure applied to a network model (customized science map) of research profiles, proposed by several authors. A modified version of the index is used and compared with the previous versions on a sample data set in order to rank top Hungarian research organizations (HROs) according to their research performance diversity. Results, unexpected in several respects, show that the modified index is a candidate for measuring the degree of polarization of a research profile. The study also points towards a possible typology of publication portfolios that instantiate different types of diversity.
KeywordsDiversity index Polarization index Science mapping ISI subject categories Hungary Research organizations
- Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal Complex Systems, 1695.Google Scholar
- Leydesdorff, L., & Rafols, I. (2010). Indicators of the Interdisciplinarity of Journals: Diversity, Centrality, and Citations. Arxiv preprint arXiv:1003.3613. Google Scholar
- R & D Core Team (2009). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. ISBN 3-900051-07-0, URL http://www.R-project.org.
- Rafols, I.; Porter, A., & Leydesdorff, L. (2009). Science overlay maps: a new tool for research policy and library management. Arxiv preprint arXiv:0912.3882.Google Scholar