Geo-spatial Event Detection in the Twitter Stream

  title={Geo-spatial Event Detection in the Twitter Stream},
  author={Maximilian Walther and Michael Kaisser},
The rise of Social Media services in the last years has created huge streams of information that can be very valuable in a variety of scenarios. What precisely these scenarios are and how the data streams can efficiently be analyzed for each scenario is still largely unclear at this point in time and has therefore created significant interest in industry and academia. In this paper, we describe a novel algorithm for geo-spatial event detection on Social Media streams. We monitor all posts on… CONTINUE READING
Highly Cited
This paper has 120 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
76 Citations
12 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 76 extracted citations

120 Citations

Citations per Year
Semantic Scholar estimates that this publication has 120 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 12 references

Lucene in Action

  • E. Hatcher, O. Gospodnetic, M. McCandless
  • Manning. 2nd revised edn.
  • 2010
1 Excerpt

Similar Papers

Loading similar papers…