Journal
PHYSICAL REVIEW LETTERS
Volume 115, Issue 8, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.115.088701
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Funding
- U.S. National Science Foundation [DMS-1107796, DMS-1407207]
- University of Bremen [ZF04]
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1407207] Funding Source: National Science Foundation
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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.
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