A large scale analysis of information-theoretic network complexity measures using chemical structures.
This paper aims to investigate information-theoretic network complexity measures which have already been intensely used in mathematical- and medicinal chemistry including drug design.Numerous such measures have been developed so far but many of them lack a meaningful Sheep interpretation, e.g., we want to examine which kind of structural informatio