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Recent studies have demonstrated that the geo-tagged tweet stream serves as an unprecedentedly valuable source for local event detection. Nevertheless, how to effectively extract local events from massive geo-tagged tweet streams in real time remains challenging. To bridge the gap, we propose a method for effective and real-time local event detection from geo-tagged tweet streams. Our method, named G\n            <jats:sc>eo<\/jats:sc>\n            B\n            <jats:sc>urst+<\/jats:sc>\n            , first leverages a novel cross-modal authority measure to identify several pivots in the query window. Such pivots reveal different geo-topical activities and naturally attract similar tweets to form candidate events. G\n            <jats:sc>eo<\/jats:sc>\n            B\n            <jats:sc>urst+<\/jats:sc>\n            further summarizes the continuous stream and compares the candidates against the historical summaries to pinpoint truly interesting local events. Better still, as the query window shifts, G\n            <jats:sc>eo<\/jats:sc>\n            B\n            <jats:sc>urst+<\/jats:sc>\n            is capable of updating the event list with little time cost, thus achieving continuous monitoring of the stream. We used crowdsourcing to evaluate G\n            <jats:sc>eo<\/jats:sc>\n            B\n            <jats:sc>urst+<\/jats:sc>\n            on two million-scale datasets and found it significantly more effective than existing methods while being orders of magnitude faster.\n          <\/jats:p>","DOI":"10.1145\/3066166","type":"journal-article","created":{"date-parts":[[2018,1,18]],"date-time":"2018-01-18T13:13:36Z","timestamp":1516281216000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":32,"title":["GeoBurst+"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3009-598X","authenticated-orcid":false,"given":"Chao","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongming","family":"Lei","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Yuan","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honglei","family":"Zhuang","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lance","family":"Kaplan","sequence":"additional","affiliation":[{"name":"US Army Research Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaowen","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Han","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,1,18]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536274.2536307"},{"key":"e_1_2_1_2_1","volume-title":"Yu","author":"Aggarwal Charu C.","year":"2003","unstructured":"Charu C. 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