Truss-based Community Search: a Truss-equivalence Based Indexing Approach
Summary: Proposes k-truss equivalence to model edge density; builds EquiTruss, a compact, truss-preserving index for dense, query-driven communities. Allows direct search on EquiTruss with online updates; experiments on real graphs show speedups over TCP-Index. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Esra Akbas (Florida State University)
- 2. Peixiang Zhao (Florida State University)
BibTeX Citation
@article{akbas_vldb17,
title = {{Truss-based Community Search: a Truss-equivalence Based Indexing Approach}},
author = {Akbas, Esra and Zhao, Peixiang},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
pages = {1298--1311},
doi = {10.14778/3137628.3137640},
url = {https://doi.org/10.14778/3137628.3137640},
year = {2017}
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