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The Flexible Socio Spatial Group Queries

Summary: Introduces Top-k Flexible Socio-Spatial Group Query for socially connected groups of varying sizes across multiple POIs. Combines social closeness, spatial distance, and group size, with exact-bound and heuristic approximation algorithms for the NP-hard search. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12209
Venue
VLDB
Year
2019
Pagerank
5.9415675e-05
Overall Rank
6,251 | 57.12%
DOI
10.14778/3282495.3282497

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ghosh_vldb19,
        title = {{The Flexible Socio Spatial Group Queries}},
        author = {Ghosh, Bishwamittra and Ali, Mohammed Eunus and Choudhury, Farhana M. and Apon, Sajid Hasan and Sellis, Timos and Li, Jianxin},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {2},
        pages = {99--111},
        doi = {10.14778/3282495.3282497},
        url = {https://doi.org/10.14778/3282495.3282497},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
3,395 Efficient Size-Bounded Community Search over Large Networks 2021 VLDB 7.44939e-05
7,474 GTS: GPU-based Tree Index for Fast Similarity Search 2024 SIGMOD 5.6093517e-05
10,349 Budgeted Strong Community Search in Heterogeneous Graphs 2026 SIGMOD 5.093636e-05
11,502 Density Personalized Group Query 2023 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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