Maximum Co-located Community Search in Large Scale Social Networks
Summary: Maximum co-located community search: spatially constraining k-truss to reveal highly interconnected, geo-aware user groups in large-scale social networks. Pruning-based exact algorithm, scalable approximation with guarantees, and a quadtree-based index for fast region queries; evaluated on five real datasets. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Lu Chen (Swinburne University of Technology)
- 2. Chengfei Liu (Swinburne University of Technology)
- 3. Rui Zhou (Swinburne University of Technology)
- 4. Jianxin Li (University of Western Australia)
- 5. Xiaochun Yang (Northeastern University)
- 6. Bin Wang (Northeastern University)
BibTeX Citation
@article{chen_vldb18,
title = {{Maximum Co-located Community Search in Large Scale Social Networks}},
author = {Chen, Lu and Liu, Chengfei and Zhou, Rui and Li, Jianxin and Yang, Xiaochun and Wang, Bin},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {10},
pages = {1233--1246},
doi = {10.14778/3231751.3231755},
url = {https://doi.org/10.14778/3231751.3231755},
year = {2018}
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