Evaluating scholars based on their academic collaboration activities: two indices, the RC-index and the CC-index, for quantifying collaboration activities of researchers and scientific communities
Although there are many studies for quantifying the academic performance of researchers, such as measuring the scientific performance based on the number of publications, there are no studies about quantifying the collaboration activities of researchers. This study addresses this shortcoming. Based on three measures, namely the collaboration network structure of researchers, the number of collaborations with other researchers, and the productivity index of co-authors, two new indices, the RC-Index and CC-Index, are proposed for quantifying the collaboration activities of researchers and scientific communities. After applying these indices on a data set generated from publication lists of five schools of information systems, this study concludes with a discussion of the shortcomings and advantages of these indices.
KeywordsCollaborative networks Collaboration activities Social network analysis Collaboration evaluation Individual and community productivity Collaboration measures Indices Empirical data analysis
JEL ClassificationC43 D80 D85 L25 M12 M21
This paper was partly funded by Ministry of Knowledge Economy of the Republic of Korea.
- Abbasi, A., & Altmann, J. (2009). AcaSoNet: Social network system for the academic community. TEMEP Working Paper Series, Seoul National University, South Korea. Google Scholar
- Altmann, J., Abbasi, A., & Hwang, J. (2009). Evaluating the productivity of researchers and their communities: The RP-index and the CP-index. International Journal of Computer Science and Applications, 6(2), 104–118.Google Scholar
- Braun, T., Glanzel, W., & Schubert, A. (2005). A Hirsch-type index for journals. The Scientist, 19(22), 8.Google Scholar
- Dainesi, S. M., & Pietrobon, R. (2007). Scientific indicators of productivity: Time for action. Revista Brasileira de Psiquiatria [Online], 29(2), 100–101.Google Scholar
- Jin, B. H. (2006). h-Index: An evaluation indicator proposed by scientist. Science Focus, 1(1), 8–9. (in Chinese).Google Scholar
- Prathap, G. (2006). Hirsch-type indices for ranking institutions’ scientific research output. Current Science, 91(11), 1439.Google Scholar
- Suresh, V., Raghupathy, N., Shekar, B., & Madhavan, C. E. V. (2007). Discovering mentorship information from author collaboration networks. Lecture notes in computer science. Discovery Science, 4755, 197–208.Google Scholar
- Van Raan, A. F. J. (2006). Measuring science. In H. F. Moed, W. Glanzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research. Germany: Kluwer Academic Publishers.Google Scholar
- Ziman, J. (1994). Prometheus bound, science in a dynamic steady state. Cambridge: Cambridge University Press.Google Scholar