Extracting comparable networks (in the sense of having roughly the same number of nodes) from time-spans containing a highly diverse number of bibliographical notices demands to set different filtering thresholds. Lower for time-spans containing fewer nodes; higher for time-spans containing more nodes.
A way of doing this in a more systematic way may be to use average and quartiles.
Instead of filtering all the nodes with an occurence count ("occ") lower than N or the edges with a weight lower than N ("weight"), we could filter all the nodes and edges with an occurence or weight lower than the average (or the 1st quartile or the 3rd quartile).
Extracting comparable networks (in the sense of having roughly the same number of nodes) from time-spans containing a highly diverse number of bibliographical notices demands to set different filtering thresholds. Lower for time-spans containing fewer nodes; higher for time-spans containing more nodes. A way of doing this in a more systematic way may be to use average and quartiles. Instead of filtering all the nodes with an occurence count ("occ") lower than N or the edges with a weight lower than N ("weight"), we could filter all the nodes and edges with an occurence or weight lower than the average (or the 1st quartile or the 3rd quartile).