Publication: Detecting nestedness in graphs
Detecting nestedness in graphs
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Grimm, A., & Tessone, C. J. (2017). Detecting nestedness in graphs. In H. Cherifi, S. Gaito, W. Quattrociocchi, & A. Sala (Eds.), Complex Networks & Their Applications V : Proceedings of the 5th International Workshop on Complex Networks and their Applications (No. 693; Issue 693, pp. 171–182). Springer. https://doi.org/10.1007/978-3-319-50901-3_14
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Many real-world networks have a nested structure. Examples range from biological ecosystems (e.g. mutualistic networks), industry systems (e.g. New York garment industry) to inter-bank networks (e.g. Fedwire bank network). A nested network has a graph topology such that a vertex’s neighborhood contains the neighborhood of vertices of lower degree. Thus, the adjacency matrix is stepwise, which can be found in both bipartite and non-bipartite networks. Despite the strict mathe- matical characterization and their common occurrence, it is
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Grimm, A., & Tessone, C. J. (2017). Detecting nestedness in graphs. In H. Cherifi, S. Gaito, W. Quattrociocchi, & A. Sala (Eds.), Complex Networks & Their Applications V : Proceedings of the 5th International Workshop on Complex Networks and their Applications (No. 693; Issue 693, pp. 171–182). Springer. https://doi.org/10.1007/978-3-319-50901-3_14