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Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms

Summary: Defines (k, gamma)-truss for probabilistic graphs: maximal subgraphs where each edge has prob ≥ gamma of in ≥(k−2) triangles; provides a dynamic-programming local-decomposition algorithm. Global (k, gamma)-truss is intractable; introduces a sampling-based approximate discovery with high probability, validated on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5104
Venue
SIGMOD
Year
2016
Pagerank
8.3136866e-05
Overall Rank
2,684 | 81.33%
DOI
10.1145/2882903.2882913

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