{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:19:34Z","timestamp":1761059974186,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319218366"},{"type":"electronic","value":"9783319218373"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-21837-3_7","type":"book-chapter","created":{"date-parts":[[2015,7,31]],"date-time":"2015-07-31T13:40:31Z","timestamp":1438350031000},"page":"60-69","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Modeling Flu Trends with Real-Time Geo-tagged Twitter Data Streams"],"prefix":"10.1007","author":[{"given":"Jaime","family":"Chon","sequence":"first","affiliation":[]},{"given":"Ross","family":"Raymond","sequence":"additional","affiliation":[]},{"given":"Haiyan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,8,1]]},"reference":[{"key":"7_CR1","unstructured":"https:\/\/www.mongodb.org"},{"key":"7_CR2","unstructured":"http:\/\/www.beevolve.com"},{"key":"7_CR3","unstructured":"https:\/\/dev.twitter.com\/"},{"key":"7_CR4","unstructured":"http:\/\/www.json.org\/"},{"key":"7_CR5","unstructured":"https:\/\/www.openstreetmap.org\/"},{"key":"7_CR6","unstructured":"http:\/\/www.cdc.gov\/flu\/weekly\/regions2008-2009\/hhssenusmap.htm"},{"key":"7_CR7","unstructured":"Dredze, M., Paul, M., Bergsma, S., Tran, H.: Carmen: a twitter geolocation system with applications to public health. In: AAAI Workshop on Expanding the Boundaries of Health Informatics Using AI (HIAI) (2012)"},{"issue":"3","key":"7_CR8","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1111\/j.1865-1682.2011.01258.x","volume":"59","author":"A Lyon","year":"2012","unstructured":"Lyon, A., Nunn, M., Grossel, G., Burgman, M.: Comparison of web-based biosecurity intelligence systems: biocaster, epispider and healthmap. Transboundary Emerg. Dis. 59(3), 223\u2013232 (2012)","journal-title":"Transboundary Emerg. Dis."},{"issue":"11","key":"7_CR9","doi-asserted-by":"publisher","first-page":"e14118","DOI":"10.1371\/journal.pone.0014118","volume":"5","author":"C Chew","year":"2012","unstructured":"Chew, C., Eysenbach, G.: Pandemics in the age of twitter: content analysis of tweets during the 2009 H1N1 outbreak. PLoS ONE 5(11), e14118 (2012)","journal-title":"PLoS ONE"},{"issue":"5","key":"7_CR10","doi-asserted-by":"publisher","first-page":"e19467","DOI":"10.1371\/journal.pone.0019467","volume":"6","author":"A Signorini","year":"2011","unstructured":"Signorini, A., Segre, A.M., Polgreen, P.M.: The use of twitter to track levels of disease activity and public concern in the u.s. during the influenza a h1n1 pandemic. PLoS ONE 6(5), e19467 (2011)","journal-title":"PLoS ONE"},{"issue":"1","key":"7_CR11","doi-asserted-by":"publisher","first-page":"39","DOI":"10.4269\/ajtmh.2012.11-0597","volume":"86","author":"R Chunara","year":"2012","unstructured":"Chunara, R., Andrews, J.R., Brownstein, J.S.: Social and news media enable estimation of epidemiological patterns early in the 2010 haitian cholera outbreak. Am. J. Trop. Med. Hyg. 86(1), 39\u201345 (2012)","journal-title":"Am. J. Trop. Med. Hyg."},{"key":"7_CR12","unstructured":"Aramaki, E., Maskawa, S., Morita, M.: Twitter catches the flu: detecting influenza epidemics using Twitter. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing Association for Computational Linguistics, pp. 1568\u20131576 (2011)"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Lampos, V., Cristianini, N.: Tracking the flu pandemic by monitoring the social web. In: Proceedings of the 2nd International Workshop on Cognitive Information Processing (CIP), pp. 411\u2013416 (2010)","DOI":"10.1109\/CIP.2010.5604088"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Lee, K., Agrawal, A., Choudhary, A.: Real-time disease surveillance using twitter data: demonstration on flu and cancer. In: Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 11\u201314 August 2013 Chicago, IL, pp. 1474\u20131477. ACM (2013)","DOI":"10.1145\/2487575.2487709"}],"container-title":["Lecture Notes in Computer Science","Wireless Algorithms, Systems, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-21837-3_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T10:45:57Z","timestamp":1676025957000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-21837-3_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319218366","9783319218373"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-21837-3_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"1 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}