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Fig. 1 | Applied Network Science

Fig. 1

From: Local memory boosts label propagation for community detection

Fig. 1

Iterations of MemLPA on a weighted undirected graph. Color and node number represent labels. Columns in the table represents nodes memory. In the first iteration, node 1 receives labels 2 and 3 from its neighbors. Using the classical LPA, in the second iteration, it would discard these labels and collect new ones (label 1 and 2). With memory, instead, the old labels are not discarded but updated, therefore node 1 contains labels 1, 2 and 3

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