An improved method for analyzing square scientometric transaction matrices
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TL;DR
A model is proposed that separates the analysis of selfcitations from inter-citations and adjusts the expected citation counts by the journal to journal similarity, along with a statistical method for evaluating the validity of the model.
Abstract
Modeling the number of citations from one journal to another may be done by assuming independent contributions from the referencing journal and from the cited journal. Empirical and theoretical evidence, however, indicates that self-citations are different from interjournal citations. For this reason a model is proposed that separates the analysis of selfcitations from inter-citations. In addition, a model is proposed that adjusts the expected citation counts by the journal to journal similarity. Computational procedures for fitting coefficients of the models to the observed citation pattern are described along with a statistical method for evaluating the validity of the model.
