Structural Trend Analysis for Online Social Networks
Summary: Two structural trend definitions—coordinated and uncoordinated—leverage friendship topology to separate topics among clustered vs dispersed users. A sampling-based detector with provable efficiency and error bounds; on 41.7M Twitter nodes, precision at 0.005 sampling is 0.93 (coordinated) and 1.0 (uncoordinated). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ceren Budak
- 2. Divyakant Agrawal
- 3. Amr El Abbadi
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,900 | Partitioning and Ranking Tagged Data Sources | 2013 | VLDB | 5.281001e-05 |
| 7,748 | GeoScope: Online Detection of Geo-Correlated Information Trends in Social Networks | 2014 | VLDB | 4.661103e-05 |
| 11,851 | Graph Summarization for Geo-correlated Trends Detection in Social Networks | 2016 | SIGMOD | 4.1945683e-05 |
| 13,498 | Information Diffusion In Social Networks: Observing and Influencing Societal Interests | 2011 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 392 | Counting Triangles in Data Streams | 2006 | PODS | 0.00024556183 |
| 835 | Finding Frequent Items in Data Streams | 2008 | VLDB | 0.00016109621 |
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