Silence or Outbreak – a Real-Time Emergent Topic Identification System (RealTIS) for Social Media
We present RealTIS, a Real-time emergent Topic Identification System for user-generated content on the web via social networking services such as Twitter, Weibo, and Facebook. Without user intervention, our proposed RealTIS system can efficiently collect necessary social media posts, construct a quality topic summarization from the vast sea of data, and then automatically identify whether the emerging topics will be out-breaking or just fading into silence. RealTIS uses a time-sliding window to compute the statistics about the basic structure (motifs) variation of the propagation network for a specific topic. These statistics are then used to predict unusual shifts in correlations, make early warning and detect outbreak. Besides, this work also illustrates the mechanism by which our proposed system makes early warning happen.
Project Members
- Zhen Yang
- Ning Lu
- Jian Huang
- Yaxi Wu
- Hesong Wang
Publication
Lu N, Yang Z*, Huang J, Wu Y, Wang H. Silence or Outbreak – a Real-time Emergent Topic Identification System (RealTIS) for Social Media, has been accepted to the AAAI-22 Demonstrations Program, 2021.