Can self-organization of scientific communication be specified by using
literature-based indicators? In this study, we explore this question by
applying entropy measures to typical "Mode-2" fields of knowledge production.
We hypothesized these scientific systems to be developing from a
self-organization of the interaction between cognitive and institutional
levels: European subsidized research programs aim at creating an institutional
network, while a cognitive reorganization is continuously ongoing at the
scientific field level.