Real-Time Anomaly Detection and Popularity Prediction for Emerging Events on Twitter-Reference-Cited by-同舟云学术

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Real-Time Anomaly Detection and Popularity Prediction for Emerging Events on Twitter

Published:2023-11-06 Issue: Volume:12 Page:300-304
ISSN:
Container-title:Proceedings of the International Conference on Advances in Social Networks Analysis and Mining
language:
Short-container-title:

Author:

Steuber Florian¹^ORCID,Schneider Sinclair¹^ORCID,Schneider João A. G.²^ORCID,Rodosek Gabi Dreo¹^ORCID

Affiliation:

1. University of the Bundeswehr Munich, Munich, Germany

2. University of the Bundeswehr Munich, 0000-0002-6332-7014, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625007.3627517

Reference20 articles.

1. S. Kumar M. B. Khan M. H. A. Hasanat A. K. J. Saudagar A. AlTameem and M. AlKhathami "An anomaly detection framework for twitter data "

2. Topical anomaly detection from Twitter stream

3. S. Kumar, M. B. Khan, M. H. A. Hasanat, A. K. J. Saudagar, A. AlTameem, and M. AlKhathami, "An anomaly detection framework for twitter data," Appl. Sci., vol. 12, no. 21, Nov. 2022, Art. no. 11059 j8xx

4. Enhancement of Twitter event detection using news streams

5. Streaming trend detection in Twitter

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