Social Media Anomaly Detection
Author:
Affiliation:
1. University of Southern California, Los Angeles, CA, USA
2. Qatar Computing Research Institute and University of Sydney, Sydney, Australia
Funder
National Science Foundation
Defense Sciences Office, DARPA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2783258.2789990
Reference12 articles.
1. oddball: Spotting Anomalies in Weighted Graphs
2. Anomaly Detection for Discrete Sequences: A Survey
3. Finding tribes
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2. NHAD: Neuro-Fuzzy Based Horizontal Anomaly Detection In Online Social Networks;IEEE Transactions on Knowledge and Data Engineering;2018
3. Ranking based comparative analysis of graph centrality measures to detect negative nodes in online social networks;Journal of Computational Science;2017-11
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