Network Evolution in Basic Science
In: The Two Sides of Innovation
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DOI: 10.1007/978-3-319-01496-8_3
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Other versions of this item:
- Thomas Grebel, 2012. "Network evolution in basic science," Journal of Evolutionary Economics, Springer, vol. 22(3), pages 443-457, July.
References listed on IDEAS
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Cited by:
- G. Blind & A. Pyka, 2014. "The rule approach in evolutionary economics: A methodological template for empirical research," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 1085-1105, November.
- Kurt Dopfer, 2013. "Economics with a Phylogenetic Signature," Papers on Economics and Evolution 2013-06, Philipps University Marburg, Department of Geography.
- Tur, Elena M. & Azagra-Caro, Joaquín M., 2018. "The coevolution of endogenous knowledge networks and knowledge creation," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 424-434.
- Grebel, Thomas, 2013. "On the tradeoff between similarity and diversity in the creation of novelty in basic science," Structural Change and Economic Dynamics, Elsevier, vol. 27(C), pages 66-78.
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More about this item
Keywords
Percolation Model; True Uncertainty; Dopfer; General Addition Rule; Network Researchers;All these keywords.
JEL classification:
- A10 - General Economics and Teaching - - General Economics - - - General
- B10 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - General
- B21 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Microeconomics
- B25 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Historical; Institutional; Evolutionary; Austrian; Stockholm School
- B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
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