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Process / pipelineMesoscale network structure

Core-Periphery Analysis

Core/periphery analysis partitions a network into a densely interconnected core of actors and a sparse periphery whose members connect to the core but not to one another. Formalized by Borgatti and Everett, the method fits the observed adjacency matrix to an idealized block pattern — a fully connected core block, an empty periphery block, and core–periphery blocks of intermediate density — to test whether and how strongly a network exhibits this canonical mesoscale structure.

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Sources

  1. Borgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395. DOI: 10.1016/S0378-8733(99)00019-2
  2. Csermely, P., London, A., Wu, L.-Y., & Uzzi, B. (2013). Structure and dynamics of core/periphery networks. Journal of Complex Networks, 1(2), 93–123. DOI: 10.1093/comnet/cnt016

How to cite this page

ScholarGate. (2026, June 22). Core/Periphery Structure Detection in Networks. ScholarGate. https://scholargate.app/en/sociology/core-periphery-analysis

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Referenced by

ScholarGateCore-Periphery Analysis (Core/Periphery Structure Detection in Networks). Retrieved 2026-06-24 from https://scholargate.app/en/sociology/core-periphery-analysis · Dataset: https://doi.org/10.5281/zenodo.20539026