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Twitter, especially, allows a fast spread of news and events happening real time that can contribute to situation awareness during emergency situations, but also to understand trending topics of a period. The article proposes an online algorithm that incrementally groups tweet streams into clusters. The approach summarizes the examined tweets into the cluster centroid by maintaining a number of textual and temporal features that allow the method to effectively discover groups of interest on particular themes. Experiments on messages posted by users addressing different issues, and a comparison with state-of-the-art approaches show that the method is capable to detect discussions regarding topics of interest, but also to distinguish bursty events revealed by a sudden spreading of attention on messages published by users.<\/jats:p>","DOI":"10.1145\/3332185","type":"journal-article","created":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T12:30:31Z","timestamp":1565267431000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":43,"title":["Bursty Event Detection in Twitter Streams"],"prefix":"10.1145","volume":"13","author":[{"given":"Carmela","family":"Comito","sequence":"first","affiliation":[{"name":"National Research Council of Italy (CNR), Institute for High Performance Computing and Networking (ICAR), Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agostino","family":"Forestiero","sequence":"additional","affiliation":[{"name":"National Research Council of Italy (CNR), Institute for High Performance Computing and Networking (ICAR), Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7297-7126","authenticated-orcid":false,"given":"Clara","family":"Pizzuti","sequence":"additional","affiliation":[{"name":"National Research Council of Italy (CNR), Institute for High Performance Computing and Networking (ICAR), Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,8,8]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536274.2536307"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/3225644.3225842"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/645920.672836"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2265080"},{"key":"e_1_2_1_5_1","volume-title":"Topic Detection and Tracking: Event-based Information Organization","author":"Allan James","unstructured":"James Allan . 2002. 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