Classifying scientific disciplines in Slovenia: A study of the evolution of collaboration structures

We explore classifying scientific disciplines including their temporal features by focusing on their collaboration structures over time. Bibliometric data for S lovenian researchers registered at the S lovenian Research Agency were used. These data were obtained from the S lovenian National Current Research Information System. We applied a recently developed hierarchical clustering procedure for symbolic data to the coauthorship structure of scientific disciplines. To track temporal changes, we divided data for the period 1986–2010 into five 5‐year time periods. The clusters of disciplines for the Slovene science system revealed 5 clusters of scientific disciplines that, in large measure, correspond with the official national classification of sciences. However, there were also some significant differences pointing to the need for a dynamic classification system of sciences to better characterize them. Implications stemming from these results, especially with regard to classifying scientific disciplines, understanding the collaborative structure of science, and research and development policies, are discussed.