Michael Mathioudakis
Nick Koudas
ABSTRACT
We present TwitterMonitor, a system that performs trend detection over the Twitter stream. The system identifies emerging topics (i.e. 'trends') on Twitter in real time and provides meaningful analytics that synthesize an accurate description of each topic. Users interact with the system by ordering the identified trends using different criteria and submitting their own description for each trend.
We discuss the motivation for trend detection over social media streams and the challenges that lie therein. We then describe our approach to trend detection, as well as the architecture of TwitterMonitor. Finally, we lay out our demonstration scenario.
- Alltop, http://alltop.com/.Google Scholar
- Radian6, http://www.radian6.com/.Google Scholar
- Scoutlabs, http://scoutlabs.com/.Google Scholar
- Sysomos, http://www.sysomos.com/.Google Scholar
- Thoora, http://www.thoora.com/.Google Scholar
- Twitscoop, http://www.twitscoop.com/.Google Scholar
- A. Angel, N. Koudas, N. Sarkas, and D. Srivastava. What's on the grapevine? In SIGMOD, 2009. Google ScholarDigital Library
- N. Bansal and N. Koudas. Blogscope: A system for online analysis of high volume text streams. In WebDb, 2007.Google Scholar
- S. C. Deerwester, S. T. Dumais, T. K. Landauer, G. W. Furnas, and R. A. Harshman. Indexing by latent semantic analysis. JASIS, 41(6):391--407, 1990.Google ScholarCross Ref
- J. Leskovec, L. Backstrom, and J. M. Kleinberg. Meme-tracking and the dynamics of the news cycle. In KDD, 2009. Google ScholarDigital Library
Index Terms
- TwitterMonitor: trend detection over the twitter stream
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