This workflow is based on a sequence of techniques designed to identify highly homogeneous groups within a large population of elements.

In the first stage, elements with identical strings are grouped into clusters. Each cluster is then interpreted as a node within a network, where the strength of the connection between two nodes depends on the number of shared values in their strings. Bi-partite networks can be build at this stage depending on the goal or research question.

Subsequently, community detection techniques are applied to the network of clusters. Once these communities are defined, all the elements within them can be explored by means of explanatory and interpretation tools.

• Contact us