Unifies multiple nestedness measures in higher-order networks via the encapsulation DAG and demonstrates that nested structure is prevalent in social systems while its absence indicates mesoscale organization.
Measuring and modeling bipartite graphs with community structure
3 Pith papers cite this work, alongside 69 external citations. Polarity classification is still indexing.
3
Pith papers citing it
69
external citations · OpenAlex
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UNVERDICTED 3representative citing papers
DEABC provides an unbiased estimator for butterfly counts in duplicate-edge streaming bipartite graphs via bucket-based priority sampling, with claimed lower memory use and proven variance bounds compared to FABLE.
A survey of existing measures and models for quantifying and generating higher-order homophily and heterophily in hypergraphs.
citing papers explorer
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The nestedness of higher-order networks
Unifies multiple nestedness measures in higher-order networks via the encapsulation DAG and demonstrates that nested structure is prevalent in social systems while its absence indicates mesoscale organization.
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Counting Butterflies over Streaming Bipartite Graphs with Duplicate Edges
DEABC provides an unbiased estimator for butterfly counts in duplicate-edge streaming bipartite graphs via bucket-based priority sampling, with claimed lower memory use and proven variance bounds compared to FABLE.
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A Guide to Higher-Order Homophily
A survey of existing measures and models for quantifying and generating higher-order homophily and heterophily in hypergraphs.