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Network Motif CentralityDefinition
Based on network motifs and principal component analysis (PCA), Network Motif Centrality measure
node importance in directed biological networks.
For a network with n nodes, the procedures of the proposed measure are as follows:
Endow each motif with a weight wj, j= 1, 2,…,m, where wj=cj/Σmk=1ck here, ck(k = 1, 2,…,m) denotes the number of the k-th type of motif. Matrix B computed as B=(bij)n×m = (b1,b2,...,bm) = (wjuij)n×m and Σ as covariance matrix of B. Based on B and the idea of the PCA, the following index defined to obtain node importance score: ![]() SoftwareReferences
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