We examine selected aspects of peer review and suggest possible improvements.
To this end, we analyse a dataset containing information about 300 papers
submitted to the Biochemistry and Biotechnology section of the Journal of the
Serbian Chemical Society. After separating the peer review process into stages
that each review has to go through, we use a weighted directed graph to
describe it in a probabilistic manner and test the impact of some modifications
of the editorial policy on the efficiency of the whole process