Motifs are subgraph patterns that appear significantly more often in a real network than in random networks with the same degree sequence. Defined by Milo et al. (2002, Science).
Different network types have characteristic motif profiles: transcription networks favor FFL, neural networks favor feedback, food webs have distinct signatures.