Learning and the structure of citation networks
The distribution of citations received by scientific publications can be approximated by a power law, a finding that has been explained by “cumulative advantage”. This paper argues that socially embedded learning is a plausible mechanism behind this cumulative advantage. A model assuming that scientists face a time trade-off between learning and writing papers, that they learn the papers known by their peers, and that they cite papers they know, generates a power law distribution of popularity, and a shifted power law for the distribution of citations received. The two distributions flatten if there is relatively more learning. The predicted exponent for the distribution of citations is independent of the average in-(or out-) degree, contrary to an untested prediction of the reference model (Price, 1976). Using publicly available citation networks, an estimate of the share of time devoted to learning (against producing) is given around two thirds.
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- Albarrán, Pedro & Crespo, Juan A. & Ortuño-Ortín, Ignacio & Ruiz-Castillo, Javier, 2010.
"The Skewness of Science in 219 Sub-Fields and a Number of Aggregates,"
CEPR Discussion Papers
8126, C.E.P.R. Discussion Papers.
- Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2010. "The skewness of science in 219 sub-fields and a number of aggregates," Economics Working Papers we1038, Universidad Carlos III, Departamento de Economía.
- Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," Economics Working Papers we1109, Universidad Carlos III, Departamento de Economía.
- S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 4(2), pages 131-134, July.
- Benjamin F. Jones, 2005.
"The burden of knowledge and the ‘death of the Renaissance man’: Is innovation getting harder?,"
Federal Reserve Bank of San Francisco.
- Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," Review of Economic Studies, Oxford University Press, vol. 76(1), pages 283-317.
- Benjamin F. Jones, 2005. "The Burden of Knowledge and the 'Death of the Renaissance Man': Is Innovation Getting Harder?," NBER Working Papers 11360, National Bureau of Economic Research, Inc.
- Pedro Albarrán & Javier Ruiz-Castillo, 2009. "References made and citations received by scientific articles," Economics Working Papers we094581, Universidad Carlos III, Departamento de Economía.
- Xavier Gabaix, 2008.
"Power Laws in Economics and Finance,"
NBER Working Papers
14299, National Bureau of Economic Research, Inc.
- A. Pyka, 2007.
in: Elgar Companion to Neo-Schumpeterian Economics, chapter 23
- Christian Ghiglino & Nicole Kuschy, 2010. "Are Patent Citations Driven by Quality?," Economics Discussion Papers 692, University of Essex, Department of Economics.
- Atalay, Enghin, 2013. "Sources of variation in social networks," Games and Economic Behavior, Elsevier, vol. 79(C), pages 106-131.
- Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
- Bramoullé, Yann & Currarini, Sergio & Jackson, Matthew O. & Pin, Paolo & Rogers, Brian W., 2012. "Homophily and long-run integration in social networks," Journal of Economic Theory, Elsevier, vol. 147(5), pages 1754-1786.
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