Subgraph Centrality
- Accounts for the participation of a node in all subgraphs of the network
- Smaller subgraphs are given more weight than larger ones, which makes this measure appropriate for characterizing network motifs (1)
- Measures density of eigenvalues within the network’s adjacency matrix A
- SC(i) = SUM∞t=0μt(i) / t! where μt(i) is the number of paths starting and ending with node i of length t and can be calculated by μt(i) = (Ak)ii
- This boils down to SC(i) = (eA)ii where eA is the matrix exponential of A
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