When are enrichment networks most appropriate?

Enrichment networks (a.k.a enrichment maps) are a good way of visualizing the output from enrichment analysis when there are many significant results, and where there are overlaps among gene sets (i.e. KEGG pathways) or nested gene sets (i.e. Gene Ontology)

To create the network, gene sets with shared genes (above certain threshold) will be connected by edges. This arrangement groups functionally similar gene sets together, which can be easier to interpret than a list of enriched gene sets in tabular form.