Sir, I have a question regarding the structure of multilayer networks.
Can we propose a multi-layer network where : a) A set of nodes are common to all the layers, say common set nodes and b) every layer has its' own set of nodes, that also interacts with the common set nodes, which may or may not be present in other layers? For example: Layer 1: Nodes: a, b, c, d Layer 2: Nodes: f, e, c, d Layer 3: Nodes: e, a, c, d Here, node 'c' and 'd' are present in all the layers. Each layer has some nodes which are not common to all the layers but present in at least two layers. Like nodes, 'a' and 'e' So, will it be correct to represent such a network using graph tool for SBM partitioning? What would define a community in such networks? I tried the same with a toy network where the final minimized state gives edges and nodes lesser than the original multigraph network. -- Sent from: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/ _______________________________________________ graph-tool mailing list graph-tool@skewed.de https://lists.skewed.de/mailman/listinfo/graph-tool