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Schematic of JointCluster algorithm with scaling heuristic.
Clustering tree produced from a simultaneous clustering of two networks and . JointCluster can handle any number of networks, and the scaling heuristic transitions from a sum graph to the smallest of the sparse cuts in the individual graphs in increments of a scale parameter. At scale , the graphs being analysed are and . Only some steps of the scaling heuristic are shown here for simplicity, and complete description is provided in Methods. Graph-specific clusters are shown as different shaded regions within a larger set of nodes.