  In this study we present an application which can be accessed via
www.excellence-networks.net and which represents networks of scientific
institutions worldwide. The application is based on papers (articles, reviews
and conference papers) published between 2007 and 2011. It uses (network) data,
on which the SCImago Institutions Ranking is based (Scopus data from Elsevier).
Using this data, institutional networks have been estimated with statistical
models (Bayesian multilevel logistic regression, BMLR) for a number of Scopus
subject areas. Within single subject areas, we have investigated and visualized
how successfully overall an institution (reference institution) has
collaborated (compared to all the other institutions in a subject area), and
with which other institutions (network institutions) a reference institution
has collaborated particularly successfully. The "best paper rate"
(statistically estimated) was used as an indicator for evaluating the
collaboration success of an institution. This gives the proportion of highly
cited papers from an institution, and is considered generally as an indicator
for measuring impact in bibliometrics.
