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Fig. 6 | Applied Network Science

Fig. 6

From: JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs

Fig. 6

Ranking of hypotheses for synthetic multiplex network. In a we show the adjacency matrix of a configuration model graph of 100 nodes and power-law distributed degree sequence. In b, c the ranking of hypotheses is shown for the local and global model respectively. As expected, hypotheses are ranked from small to big values of ε since small values represent only a few changes in the original adjacency matrix of the configuration graph. Both models show that when the original graph changes at least 70% of its edges the new graph cannot be explained better than random (i.e., uniform)

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