Graph-tool (2) implements a non-parametric, microcanonical version of stochastic block models described and derived across a series of papers . These models are fit to the data using Bayesian inference. The details of the implementation will not be reproduced here as they can be found in detail in the cited papers. In the papers Peixoto derives SBM configurations capturing nested blockmodels, degree-correction and overlapping blocks thus in a first step we carried out model comparison to find the most suitable configuration for this problem. In order to test the different configurations of the SBM derived by Peixoto across (3-8) and implemented in graphtool it was necessary to reduce the total network size to limit the otherwise excessive runtime of some configurations. Thus, the network was screened to represent the state of publications in 1930. The obtained network contained 9,452 nodes and 19,448 edges upon removal of all parallel edges.