Results 11 to 20 of about 7,021,826 (278)
Community structure in social and biological networks [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2001 A number of recent studies have focused on the statistical properties of networked systems such as social networks and the Worldwide Web. Researchers have concentrated particularly on a few properties that seem to be common to many networks: the small ...
M. Girvan, M. Newman
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Finding and evaluating community structure in networks. [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2003 We propose and study a set of algorithms for discovering community structure in networks-natural divisions of network nodes into densely connected subgroups. Our algorithms all share two definitive features: first, they involve iterative removal of edges
Mark Newman +3 more
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Community detection in graphs [PDF]
arXiv.org, 2009 The modern science of networks has brought significant advances to our understanding of complex systems. One of the most relevant features of graphs representing real systems is community structure, or clustering, i.e.
S. Fortunato
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Modularity and community structure in networks. [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2006 Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or modules.
M. Newman
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The REDCap consortium: Building an international community of software platform partners
Journal of Biomedical Informatics, 2019 The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in
P. Harris +10 more
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Finding community structure in very large networks. [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2004 The discovery and analysis of community structure in networks is a topic of considerable recent interest within the physics community, but most methods proposed so far are unsuitable for very large networks because of their computational cost.
A. Clauset, M. Newman, Cristopher Moore
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Maps of random walks on complex networks reveal community structure [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2007 To comprehend the multipartite organization of large-scale biological and social systems, we introduce an information theoretic approach that reveals community structure in weighted and directed networks.
M. Rosvall, Carl T. Bergstrom
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Finding community structure in networks using the eigenvectors of matrices. [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2006 We consider the problem of detecting communities or modules in networks, groups of vertices with a higher-than-average density of edges connecting them.
M. Newman
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Fast algorithm for detecting community structure in networks. [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2003 Many networks display community structure--groups of vertices within which connections are dense but between which they are sparser--and sensitive computer algorithms have in recent years been developed for detecting this structure.
M. Newman
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BMC Infectious Diseases, 2021 Background Estimating population prevalence and incidence of prior SARS-CoV-2 infection is essential to formulate public health recommendations concerning the COVID-19 pandemic.
The COVID-19 Community Research Partnership Study Group
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