A simulation benchmark shows community detection on correlation graphs can extract thematic structure from high-dimensional ordinal Delphi data where traditional factor models fail due to rank deficiency.
and Delvenne, Jean-Charles and Rosvall, Martin and Lambiotte, Renaud
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A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark
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Community detection in small-sample ordinal regimes: A benchmarking framework for Delphi data
A simulation benchmark shows community detection on correlation graphs can extract thematic structure from high-dimensional ordinal Delphi data where traditional factor models fail due to rank deficiency.
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A Survey of Community Detection from an Operations Research Perspective: Taxonomy, Mathematical Formulations, Modularity Functions, and Benchmark Datasets
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark