Information content: beyond modularity in complex networks

Massimiliano Zanin, PA Sousa, Ernestina Menasalvas Ruiz

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


We propose a novel measure to assess the presence of meso-scale structures in complex networks. This measure is based on the identification of regular patterns in the adjacency matrix of the network, and on the calculation of the quantity of information lost when pairs of nodes are iteratively merged. We show how this measure is able to quantify several meso-scale structures, like the presence of modularity, bipartite and core-periphery configurations, or motifs. Results corresponding to a large set of real networks are used to validate its ability to detect non-trivial topological patterns.
Original languageEnglish
Article number30001
Issue number3
Publication statusPublished - 2014


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