Finding Time-Proximity Communities in Temporal Heterogeneous Information Networks
Summary: Introduces THCS and a (k,Tq,Pδ)-core capturing HIN structural cohesion plus interaction recency via query intervals and span bounds. Sliding-window/expansion algorithms and a compressed core-interval index enable efficient online and repeated temporal community search. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yifu Tang (Swinburne University of Technology)
- 2. Chengfei Liu (Swinburne University of Technology)
- 3. Lu Chen (Swinburne University of Technology)
- 4. Rui Zhou (Swinburne University of Technology)
- 5. Jianxin Li (Edith Cowan University)
BibTeX Citation
@article{tang_vldb25,
title = {{Finding Time-Proximity Communities in Temporal Heterogeneous Information Networks}},
author = {Tang, Yifu and Liu, Chengfei and Chen, Lu and Zhou, Rui and Li, Jianxin},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {13},
pages = {5740--5752},
doi = {10.14778/3773731.3773747},
url = {https://doi.org/10.14778/3773731.3773747},
year = {2025}
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