2015/05/27 by M. E. J. Newman, Tiago P. Peixoto · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #Community structure #Complex Network Analysis Techniques #Complex network #Computer science #Data science #Epistemology #Extension (predicate logic) #Mathematics #Meaning (existential) #Network structure #Opinion Dynamics and Social Influence #Peer-to-Peer Network Technologies #Physics #Range (aeronautics) #Scale (ratio) #Statistical physics #Statistics #Theoretical computer science #World Wide Web #cond-mat.stat-mech #cs.SI #physics.soc-ph
paper · pdf · doi:10.1103/physrevlett.115.088701
published as Phys. Rev. Lett. 115, 088701 (2015) · 5 pages, 1 figure
arxiv created 2015/05/27 · openalex publication_date 2015/08/20 · arxiv updated 2015/08/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
A substantial volume of research is devoted to studies of community structure in networks, but communities are not the only possible form of large-scale network structure. Here, we describe a broad extension of community structure that encompasses traditional communities but includes a wide range of generalized structural patterns as well. We describe a principled method for detecting this generalized structure in empirical network data and demonstrate with real-world examples how it can be used to learn new things about the shape and meaning of networks.