articleJun 6, 2010Closed access

TwitterMonitor

University of Toronto

Indexed incrossref

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.

Citation impact

818
total citations
FWCI
43.77
Percentile
100%
References
4
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Analytics
  • Data science
  • World Wide Web
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