Quantifying simultaneous innovations in evolutionary medicine
| Autor: | Manfred Dietrich Laubichler, Hyejin Youn, Frank van der Wouden, Deryc T. Painter |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Collective behavior Computer science Keyword extraction Field (computer science) 03 medical and health sciences 0502 economics and business Simultaneous innovation Ecology Evolution Behavior and Systematics 030304 developmental biology 0303 health sciences Applied Mathematics 05 social sciences Collective intelligence Evolutionary medicine Novelty Independence Biological Evolution Data science Authorship Metadata Philosophy of biology Medicine Original Article Citation 050203 business & management Transdisciplinary studies |
| Zdroj: | Painter, D T, van der Wouden, F, Laubichler, M D & Youn, H 2020, ' Quantifying simultaneous innovations in evolutionary medicine ', Theory in Biosciences, vol. 139, no. 4, pp. 319-335 . https://doi.org/10.1007/s12064-020-00333-3 Theory in Biosciences |
| Popis: | To what extent do simultaneous innovations occur and are independently from each other? In this paper we use a novel persistent keyword framework to systematically identify innovations in a large corpus containing academic papers in evolutionary medicine between 2007 and 2011. We examine whether innovative papers occurring simultaneously are independent from each other by evaluating the citation and co-authorship information gathered from the corpus metadata. We find that 19 out of 22 simultaneous innovative papers do, in fact, occur independently from each other. In particular, co-authors of simultaneous innovative papers are no more geographically concentrated than the co-authors of similar non-innovative papers in the field. Our result suggests producing innovative work draws from a collective knowledge pool, rather than from knowledge circulating in distinct localized collaboration networks. Therefore, new ideas can appear at multiple locations and with geographically dispersed co-authorship networks. Our findings support the perspective that simultaneous innovations are the outcome of collective behavior. |
| Databáze: | OpenAIRE |
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