Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s12064-020-00333-3 | Theory in Biosciences |
Keywords | DocType | Volume |
Simultaneous innovation, Independence, Novelty, Keyword extraction, Evolutionary medicine | Journal | 139 |
Issue | ISSN | Citations |
4 | 1431-7613 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deryc T Painter | 1 | 0 | 0.34 |
| Frank van der Wouden | 2 | 0 | 0.34 |
| Manfred D. Laubichler | 3 | 13 | 4.72 |
| Hyejin Youn | 4 | 0 | 0.34 |