EBM - An Entropy-Based Model to Infer Social Strength from Spatiotemporal Data

Summary: Entropy-based model (EBM) to infer social ties and their strength from spatiotemporal co-occurrences. Jointly models diversity and weighted frequency, adapts to location sparsity, and outperforms baselines on real-world location and social-network data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4708
Venue: SIGMOD
Year: 2013
Pagerank: 6.6258079e-05
Overall Rank: 3,926 | 72.69%
DOI: -

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,850	Trajectory Simplification: On Minimizing the Direction-based Error	2015	VLDB	8.0191031e-05
6,093	Density-based Place Clustering in Geo-Social Networks	2014	SIGMOD	5.2131159e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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