A Bayesian Inference Method Using Monte Carlo Sampling for Estimating the Number of Communities in Bipartite Networks

Figure 5

Tests of our algorithm on synthetic bipartite networks. In each subgraph, triangles represent results derived from Monte Carlo runs with the known correct partitions (ground truth initial conditions), while circles represent runs started with a random initial partition of nodes to community (random initial conditions).

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