  The growth and popularization of platforms on scientific production have been
the subject of several studies, producing relevant analyses of coauthorship
behavior among groups of researchers. Researchers and their scientific
productions can be analyzed as coauthorship social networks, so researchers are
linked through common publications. In this context, coauthoring networks can
be analyzed to find patterns that can describe or characterize them. This work
presents the analysis and characterization of co-authorship networks of
academic Brazilian graduate programs in computer science. To this end, data
from the curricula of Brazilian researchers were collected and modeled as
coauthoring networks among the graduate programs that researchers participate
in. Each network topology was analyzed regarding complex network measurements
and three qualitative indices that evaluate the publications quality. In
addition, the coauthorship networks of the graduate programs were characterized
in relation to the evaluation received by CAPES, which attributes a qualitative
grade to the graduate programs in Brazil. The results indicate some of the most
relevant topological measures for the programs characterization and evaluate at
different qualitative rates and indicate a pattern of the graduate programs
best evaluated by CAPES.
