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The authors investigate the suitability of clustering techniques to detect sub-events. In particular two algorithms are evaluated on several data sets related to crisis situations. The results show the high potential of the proposed approach. In addition, the authors validate the idea of sub-event detection for the authors\u2019 future research based on a survey conducted among practitioners. Their responses show the potential of using social media in combination with sub-event detection during emergency management.<\/p>","DOI":"10.4018\/ijiscram.2013070102","type":"journal-article","created":{"date-parts":[[2013,12,16]],"date-time":"2013-12-16T17:19:09Z","timestamp":1387214349000},"page":"20-36","source":"Crossref","is-referenced-by-count":5,"title":["Supporting Crisis Management via Detection of Sub-Events in Social Networks"],"prefix":"10.4018","volume":"5","author":[{"given":"Daniela","family":"Pohl","sequence":"first","affiliation":[{"name":"Institute of Information Technology, Alpen-Adria-Universit\u00e4t Klagenfurt, Klagenfurt, Austria"}]},{"given":"Abdelhamid","family":"Bouchachia","sequence":"additional","affiliation":[{"name":"Smart Technology Research Center, Bournemouth University, UK"}]},{"given":"Hermann","family":"Hellwagner","sequence":"additional","affiliation":[{"name":"Institute of Information Technology, Alpen-Adria-Universit\u00e4t Klagenfurt, Klagenfurt, Austria"}]}],"member":"2432","reference":[{"key":"ijiscram.2013070102-0","doi-asserted-by":"crossref","unstructured":"Becker, H., Iter, D., Naaman, M., & Gravano, L. 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