Figure 3. .

Edges can be grouped to form constructs amenable for analysis. (A) Motifs are characterized by a set number of nodes and the pattern of edges that fall between them; the motif spectra visualizes the frequency of various motifs present in the network (figure adapted from Z.-Q. Liu, Zheng, & Misic, 2020). (B) Connectivity fingerprints describe the set of edges connected to a specific node, which can create a global context or profile for a specific region and can be used to identify homologs across species (figure adapted from Balsters, Zerbi, Sallet, Wenderoth, & Mars, 2020). (C) Community structure describes a mesoscale organization of the network, which can be used to calculate and classify edge strengths between clusters (figure adapted from Betzel et al., 2018). (D) Higher order relationships, such as cliques and cavities, can be built by aggregating pairwise relationships to assess higher dimensional structure of the network (figure adapted from Sizemore et al., 2018).