Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
SummaryWe propose a new method for generating random correlation matrices that makes it simple to control both location and dispersion. The method is based on a vector parameterization, , which maps any distribution onto a distribution on the space of nonsingularcorrelation matrices. Correlation matrices with certain properties, such as being well-conditioned, having block structures, and having strictly positive elements, are simple to generate. We compare the new method with existing methods.