EviDense: A Graph-Based Method for Finding Unique High-Impact Events with Succinct Keyword-Based Descriptions

Authors

  • Oana Balalau Max Planck Institute for Informatics
  • Carlos Castillo Universitat Pompeu Fabra
  • Mauro Sozio Télécom ParisTech University

DOI:

https://doi.org/10.1609/icwsm.v12i1.15077

Keywords:

event detection, disaster events, graph mining

Abstract

Despite the significant efforts made by the research community in recent years, automatically acquiring valuable information about high impact-events from social media remains challenging. We present EVIDENSE, a graph-based approach for finding high-impact events (such as disaster events) in social media. Our evaluation shows that our method outperforms state-of-the-art approaches for the same problem, in terms of having higher precision, lower number of duplicates, while providing a keyword-based description that is succinct and informative.

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Published

2018-06-15

How to Cite

Balalau, O., Castillo, C., & Sozio, M. (2018). EviDense: A Graph-Based Method for Finding Unique High-Impact Events with Succinct Keyword-Based Descriptions. Proceedings of the International AAAI Conference on Web and Social Media, 12(1). https://doi.org/10.1609/icwsm.v12i1.15077