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: 5222
Venue: SIGMOD
Year: 2016
Pagerank: 4.1945683e-05
Overall Rank: 11,851 | 17.56%
DOI: 10.1145/2882903.2914832

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Authors

1. Colin Biafore
2. Faisal Nawab

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
435	Efficient Aggregation for Graph Summarization	2008	SIGMOD	0.00023260172
697	Human-Assisted Graph Search: It’s Okay to Ask Questions	2011	VLDB	0.00018043655
2,116	On the Spatiotemporal Burstiness of Terms	2012	VLDB	9.5180761e-05
3,220	Structural Trend Analysis for Online Social Networks	2011	VLDB	7.3531514e-05

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