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Graph Summarization for Geo-correlated Trends Detection in Social Networks

Summary: Graph summarization tailored for geo-correlated trends detection in social networks, reducing costly visual exploration. Compact summaries empower data scientists to experiment with diverse, geo-aware trend models beyond rigid pre-defined approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5284
Venue
SIGMOD
Year
2016
Pagerank
5.093636e-05
Overall Rank
12,052 | 17.32%
DOI
10.1145/2882903.2914832

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Authors

BibTeX Citation

@inproceedings{biafore_sigmod16,
        title = {{Graph Summarization for Geo-correlated Trends Detection in Social Networks}},
        author = {Biafore, Colin and Nawab, Faisal},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2914832},
        url = {https://dl.acm.org/doi/10.1145/2882903.2914832},
        year = {2016}
}

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

Rank Cited Paper Year Venue Pagerank
486 Efficient Aggregation for Graph Summarization 2008 SIGMOD 0.00017692185
767 Human-Assisted Graph Search: It’s Okay to Ask Questions 2011 VLDB 0.00014208622
3,852 On the Spatiotemporal Burstiness of Terms 2012 VLDB 7.0734721e-05
4,855 Structural Trend Analysis for Online Social Networks 2011 VLDB 6.4766126e-05
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