Higher-order organization of complex networks

See allHide authors and affiliations

Science  08 Jul 2016:
Vol. 353, Issue 6295, pp. 163-166
DOI: 10.1126/science.aad9029

Resolving a network of hubs

Graphs are a pervasive tool for modeling and analyzing network data throughout the sciences. Benson et al. developed an algorithmic framework for studying how complex networks are organized by higher-order connectivity patterns (see the Perspective by Pržulj and Malod-Dognin). Motifs in transportation networks reveal hubs and geographical elements not readily achievable by other methods. A motif previously suggested as important for neuronal networks is part of a “rich club” of subnetworks.

Science, this issue p. 163; see also p. 123