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Twitter in academic conferences: usage, networking and participation over time.

, , , and . HT, page 285-290. ACM, (2014)

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Twitter in academic conferences: usage, networking and participation over time., , , and . HT, page 285-290. ACM, (2014)The Dynamics of Group Risk Perception in the US After Paris Attacks., , , and . SocInfo (1), volume 10046 of Lecture Notes in Computer Science, page 168-184. (2016)Event Analytics via Discriminant Tensor Factorization., , and . ACM Trans. Knowl. Discov. Data, 12 (6): 72:1-72:38 (2018)Information Seeking and Responding Networks in Physical Gatherings: A Case Study of Academic Conferences in Twitter., and . COSN, page 197-208. ACM, (2015)Quantifying Content Polarization on Twitter., , , and . CIC, page 299-308. IEEE Computer Society, (2017)Constructing Large-Scale Real-World Benchmark Datasets for AIOps., , , , , , , and . CoRR, (2022)Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding., , , , , , and . KDD, page 3220-3230. ACM, (2021)AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment., , , , , , and . ISSRE, page 13-23. IEEE, (2023)Mining Fluctuation Propagation Graph Among Time Series with Active Learning., , , , , , , , , and 2 other author(s). DEXA (1), volume 13426 of Lecture Notes in Computer Science, page 220-233. Springer, (2022)Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning., , and . CIKM, page 827-836. ACM, (2017)