Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition

By Junghoon Chae, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, Thomas Ertl. 2012

295 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Epidemiology, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Fred Morstatter
2. Kathleen M. Carley
3. Huan Liu
4. Jiliang Tang
5. Zheng Zhao
6. Feiping Nie
7. Bryan Perozzi
8. Xuelong Li

In Epidemiology

1. Jürgen Pfeffer

In Statistical and Nonlinear Physics

1. Fred Morstatter
2. Jürgen Pfeffer
3. Huan Liu
4. Kathleen M. Carley
5. Carlos Castillo
6. Alexandra Olteanu
7. Bryan Perozzi
8. Emilio Ferrara

Citations in the corpus

• Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2013, background): “Due to the large volume of tweets published on Twitter, topic modeling has become central to many content-based studies using Twitter data (Kireyev, Palen, and Anderson 2009; Pozdnoukhov and Kaiser 2011; Hong et al. 2012; Yin et al. 2011; Chae et al. 2012).”