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. 2012 Apr 2;109(17):6769–6774. doi: 10.1073/pnas.1115365109

Fig. 1.

Fig. 1.

Graph theory and community detection. Displayed is a depiction of a network, where nodes (solid circles) are connected by edges (solid lines). In this paper nodes are participants and edges are correlations between participants’ neuropsychological scores. Community detection algorithms (29) can be applied to graph structures to identify clusters of nodes (shaded clouds) that share many edges within clusters relative to between clusters.