Fig. 1

The results of the methodology applied to data of a pet shelter; 2017 Bloomington Animal Shelter (from data.gov). Two variables (columns) are chosen from the data; the ‘species’ and ‘location’. a Shows the cluster entropy value changes along the event data for subsetting upon a window length shown in the legend. b Shows the number of walks of length 2 between label values within a column (the triangulation edges). This produces a separate network diagram for each variable where edges show that two labels have been in an event where another variable(s) was recorded with the same label, and the width is proportional to those counts. c Shows the network with edges of walk length 2 (triangulation) and walk 1 which is the even variable label co-occurrence network