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,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative 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.
citing papers explorer
-
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.
-
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.