Specifying Social Weight Matrices of Researcher Networks: The Case of Academic Economists

Katarina Zigova

No 2017-10, Working Paper Series of the Department of Economics, University of Konstanz from Department of Economics, University of Konstanz

Abstract: This paper shows how collaboration and citation networks can be used to specify social weight matrices for a community of researchers. I use two competing theories of social influence on individual behavior, namely communication and comparison. I argue that in research networks collaboration captures communication, while citation captures comparison. I further argue that the comparison principle is likely to be the main social driver of individual research productivity and suggest a benchmark social weight matrix based on this principle. I test the benchmark matrix against several alternatives using a Bayesian model comparison procedure and conclude that the benchmark matrix outperforms alternative specifications. This result lends support to socio-economic theories underling the benchmark specification of the social weight matrix.

Keywords: collaboration and citation networks; social weight matrix; network autocorrelation; research productivity (search for similar items in EconPapers)
JEL-codes: C21 D83 I23 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2017-10-04
New Economics Papers: this item is included in nep-sog
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