TechnoMaster Co. Ltd.
In the scientific community, it is very common to try to create sound metrics for practically everything that can be measured. One of the current trends is to consider aspects from social networks for defining evaluation metrics. Following such a trend, the authors' work proposes applying the Gini coefficient for evaluating research networks from two different perspectives. The first one analyzes the temporal evolution of research networks by considering the Gini coefficient of the distribution of researchers who have co-authored publications.