Fig. 1: Network decomposition and correlation of individual productivity and prominence measures.
From: Untangling the network effects of productivity and prominence among scientists
a Illustrations of how observed individual productivity (upper) and prominence (lower) are network measures, resulting from the joint effect of the individual productivity λ and prominence θ parameters of coauthors. b Joint and marginal distributions of estimated latent variables λ and θ estimated from 198,202 mid-career STEM researchers who published at least ten papers. To better illustrate the estimated distribution of θ, we omit points for 116,223 researchers with negligible \(\hat{\theta } \; < \;1{0}^{-3}\) values. The remaining researchers have a mean \(\hat{\lambda }\) value of μλ = 0.42, moderately higher than the entire cohort of selected researchers reported in the main text (two-sided t-test, t = 49.8, p < 10−3). c Correlation matrix of individual mid-career researchers' observed and modeled scholarly statistics, illustrating how the modeled parameters capture the network effects of collaboration.
