caa a22 4500 445349778 CHVBK 20180317142840.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s11192-011-0431-9 doi (NATIONALLICENCE)springer-10.1007/s11192-011-0431-9 A few special cases: scientific creativity and network dynamics in the field of rare diseases [Elektronische Daten] [M. Frigotto, Massimo Riccaboni] We develop a model of scientific creativity and test it in the field of rare diseases. Our model is based on the results of an in-depth case study of the Rett Syndrome. Archival analysis, bibliometric techniques and expert surveys are combined with network analysis to identify the most creative scientists. First, we compare alternative measures of generative and combinatorial creativity. Then, we generalize our results in a stochastic model of socio-semantic network evolution. The model predictions are tested with an extended set of rare diseases. We find that new scientific collaborations among experts in a field enhance combinatorial creativity. Instead, high entry rates of novices are negatively related to generative creativity. By expanding the set of useful concepts, creative scientists gain in centrality. At the same time, by increasing their centrality in the scientific community, scientists can replicate and generalize their results, thus contributing to a scientific paradigm. Akadémiai Kiadó, Budapest, Hungary, 2011 Creativity nationallicence Co-authorship network nationallicence Scientific collaboration nationallicence Bibliometric indicators nationallicence Biomedical research nationallicence Qualitative and quantitative method nationallicence Frigotto M. Department of Management and Computer Science, University of Trento, Via Inama, 5, 38100, Trento, Italy aut Riccaboni Massimo Department of Management and Computer Science, University of Trento, Via Inama, 5, 38100, Trento, Italy aut Scientometrics Springer Netherlands 89/1(2011-10-01), 397-420 0138-9130 89:1<397 2011 89 11192 https://doi.org/10.1007/s11192-011-0431-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0431-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Frigotto M. Department of Management and Computer Science, University of Trento, Via Inama, 5, 38100, Trento, Italy aut NATIONALLICENCE 700 1- Riccaboni Massimo Department of Management and Computer Science, University of Trento, Via Inama, 5, 38100, Trento, Italy aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 89/1(2011-10-01), 397-420 0138-9130 89:1<397 2011 89 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer