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From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

Summary: Multi-modal anomaly detection for rumour detection in streaming social data, combining entity and relation signals. Graph-based scan raises local anomalies to network-level rumours; incremental streaming methods demonstrated on 4M tweets with 1k+ rumours. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11803
Venue
VLDB
Year
2019
Pagerank
4.5321619e-05
Overall Rank
8,376 | 41.74%
DOI
10.14778/3329772.3329778

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,157 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 4.5730908e-05
10,135 ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow Networks 2026 SIGMOD 4.1945683e-05
10,670 X-Blossom: Massive Parallelization of Graph Maximum Matching 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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