Characteristics Analysis of Moving Conversations to Detect Events on Twitter-Reference-Cited by-同舟云学术

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Characteristics Analysis of Moving Conversations to Detect Events on Twitter

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
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Author:

Senaratne Hansi¹,Lehle Dominic²,Schreck Tobias³

Affiliation:

1. Earth Observation Center, German Aerospace Center,Oberpfaffenhofen,Germany

2. Advanced Research & Technologies Avira,Tettnang,Germany

3. Inst. of Computer Graphics & Knowledge Visualization, Graz University of Technology,Graz,Austria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068562/10068565/10068690.pdf?arnumber=10068690

Reference36 articles.

1. Social media as sensor in real world: movement trajectory detection with microblog

2. A Nested Model for Visualization Design and Validation

3. Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago

4. ScatterBlogs2: Real-Time Monitoring of Microblog Messages through User-Guided Filtering

5. A density-based algorithm for discovering clusters in large spatial databases with noise;ester;KDD,1996

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting crisis events from unstructured text data using signal words as crisis determinants;International Journal of Digital Earth;2023-11-12

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