{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:03:36Z","timestamp":1743023016689,"version":"3.40.3"},"publisher-location":"Cham","reference-count":51,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319760803"},{"type":"electronic","value":"9783319760810"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-76081-0_9","type":"book-chapter","created":{"date-parts":[[2018,2,23]],"date-time":"2018-02-23T02:44:38Z","timestamp":1519353878000},"page":"99-112","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Event Detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data"],"prefix":"10.1007","author":[{"given":"Musa Ibarhim M.","family":"Ishag","sequence":"first","affiliation":[]},{"given":"Kwang Sun","family":"Ryu","sequence":"additional","affiliation":[]},{"given":"Jong Yun","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Keun Ho","family":"Ryu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,2,24]]},"reference":[{"issue":"1","key":"9_CR1","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1186\/1471-2407-13-508","volume":"13","author":"R Thackeray","year":"2013","unstructured":"Thackeray, R., et al.: Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month. BMC Cancer 13(1), 508 (2013). https:\/\/doi.org\/10.1186\/1471-2407-13-508","journal-title":"BMC Cancer"},{"key":"9_CR2","doi-asserted-by":"publisher","unstructured":"Loff, J., Reis, M., Martins, B.: Predicting well-being with geo-referenced data collected from social media platforms. In: Proceedings of the 30th Annual ACM Symposium on Applied Computing, pp. 1167\u20131173. ACM, Salamanca, Spain (2015). https:\/\/doi.org\/10.1145\/2695664.2695939","DOI":"10.1145\/2695664.2695939"},{"issue":"6","key":"9_CR3","doi-asserted-by":"publisher","first-page":"708","DOI":"10.4401\/ag-5364","volume":"54","author":"PS Earle","year":"2012","unstructured":"Earle, P.S., Bowden, D.C., Guy, M.: Twitter earthquake detection: earthquake monitoring in a social world. Ann. Geophys. 54(6), 708\u2013715 (2012). https:\/\/doi.org\/10.4401\/ag-5364","journal-title":"Ann. Geophys."},{"key":"9_CR4","doi-asserted-by":"publisher","unstructured":"Bollen, J., Mao, H., Zeng, X.: Twitter mood predicts the stock market. J. Comput. Sci. 2(1), 1\u20138 (2011). https:\/\/doi.org\/10.1016\/j.jocs.2010.12.007","DOI":"10.1016\/j.jocs.2010.12.007"},{"issue":"6","key":"9_CR5","doi-asserted-by":"publisher","first-page":"1268","DOI":"10.1109\/TMM.2013.2265080","volume":"15","author":"LM Aiello","year":"2013","unstructured":"Aiello, L.M., et al.: Sensing trending topics in Twitter. IEEE Trans. Multimedia 15(6), 1268\u20131282 (2013). https:\/\/doi.org\/10.1109\/TMM.2013.2265080","journal-title":"IEEE Trans. Multimedia"},{"key":"9_CR6","unstructured":"Rousseeuw, P.J., Leroy, A.M.: Robust Regression and Outlier Detection, vol. 589. Wiley (2005)"},{"key":"9_CR7","doi-asserted-by":"publisher","unstructured":"McMinn, A.J., Moshfeghi, Y., Jose, J.M.: Building a large-scale corpus for evaluating event detection on twitter. In: Proceedings of the 22nd ACM international conference on Information & Knowledge Management, pp. 409\u2013418 ACM, San Francisco, California, USA (2013). https:\/\/doi.org\/10.1145\/2505515.2505695","DOI":"10.1145\/2505515.2505695"},{"key":"9_CR8","unstructured":"Rei, L., Grobelnik, M., Mladeni\u0107, D.: Event Detection in Twitter With an Event Knowledge Base"},{"key":"9_CR9","unstructured":"Wong, W.-K., Neill, D.B.: Tutorial on Event Detection KDD 2009. Age 9 (2009)"},{"key":"9_CR10","unstructured":"Allan, J.: Topic Detection and Tracking: Event-Based Information Organization, vol. 12. Springer Science & Business Media (2012)"},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.dss.2016.02.006","volume":"85","author":"F Hogenboom","year":"2016","unstructured":"Hogenboom, F., et al.: A survey of event extraction methods from text for decision support systems. Decis. Support Syst. 85, 12\u201322 (2016). https:\/\/doi.org\/10.1016\/j.dss.2016.02.006","journal-title":"Decis. Support Syst."},{"issue":"1","key":"9_CR12","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1111\/coin.12017","volume":"31","author":"F Atefeh","year":"2015","unstructured":"Atefeh, F., Khreich, W.: A survey of techniques for event detection in twitter. Comput. Intell. 31(1), 132\u2013164 (2015). https:\/\/doi.org\/10.1111\/coin.12017","journal-title":"Comput. Intell."},{"issue":"4","key":"9_CR13","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1145\/2771588","volume":"47","author":"M Imran","year":"2015","unstructured":"Imran, M., et al.: Processing social media messages in mass emergency: a survey. ACM Comput. Surv. (CSUR) 47(4), 67 (2015). https:\/\/doi.org\/10.1145\/2771588","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"9_CR14","doi-asserted-by":"publisher","unstructured":"Cordeiro, M., Gama, J.: Online social networks event detection: a survey. In: Solving Large Scale Learning Tasks. Challenges and Algorithms, pp. 1\u201341. Springer International Publishing (2016). https:\/\/doi.org\/10.1007\/978-3-319-41706-6_1","DOI":"10.1007\/978-3-319-41706-6_1"},{"key":"9_CR15","doi-asserted-by":"publisher","unstructured":"Chen, C.: CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J. Am. Soc. Inf. Sci. Technol. 57(3), 359\u2013377 (2006). https:\/\/doi.org\/10.1002\/asi.20317","DOI":"10.1002\/asi.20317"},{"issue":"3","key":"9_CR16","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/j.ijinfomgt.2016.02.005","volume":"36","author":"A Balaid","year":"2016","unstructured":"Balaid, A., et al.: Knowledge maps: a systematic literature review and directions for future research. Int. J. Inf. Manage. 36(3), 451\u2013475 (2016). https:\/\/doi.org\/10.1016\/j.ijinfomgt.2016.02.005","journal-title":"Int. J. Inf. Manage."},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Chen, H., et al.: Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security, vol. 18. Springer Science & Business Media (2008)","DOI":"10.1007\/978-0-387-71613-8"},{"issue":"3","key":"9_CR18","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/MIS.2012.106","volume":"29","author":"W Liu","year":"2014","unstructured":"Liu, W., et al.: Collaboration pattern and topic analysis on intelligence and security informatics research. IEEE Intell. Syst. 29(3), 39\u201346 (2014). https:\/\/doi.org\/10.1109\/MIS.2012.106","journal-title":"IEEE Intell. Syst."},{"key":"9_CR19","doi-asserted-by":"publisher","unstructured":"Qian, D., et al.: Mapping knowledge domain analysis of medical informatics education. In: Frontier and Future Development of Information Technology in Medicine and Education, pp. 2209\u20132213. Springer Netherlands (2014). https:\/\/doi.org\/10.1007\/978-94-007-7618-0_269","DOI":"10.1007\/978-94-007-7618-0_269"},{"key":"9_CR20","doi-asserted-by":"publisher","unstructured":"Lee, Y.-C., Chen, C., Tsai, X.-T.: Visualizing the knowledge domain of nanoparticle drug delivery technologies: a scientometric review. Appl. Sci. 6(1), 11 (2016). https:\/\/doi.org\/10.3390\/app6010011","DOI":"10.3390\/app6010011"},{"issue":"2","key":"9_CR21","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/s11192-015-1729-9","volume":"105","author":"VK Singh","year":"2015","unstructured":"Singh, V.K., et al.: Scientometric mapping of research on \u2018Big Data\u2019. Scientometrics 105(2), 727\u2013741 (2015). https:\/\/doi.org\/10.1007\/s11192-015-1729-9","journal-title":"Scientometrics"},{"key":"9_CR22","doi-asserted-by":"publisher","unstructured":"Silva, T.H.P., Moro, M.M., Silva, A.P.C.: Authorship contribution dynamics on publication venues in computer science: an aggregated quality analysis. In: Proceedings of the 30th Annual ACM Symposium on Applied Computing, pp. 1142\u20131147. ACM, Salamanca, Spain (2015). https:\/\/doi.org\/10.1145\/2695664.2695781","DOI":"10.1145\/2695664.2695781"},{"issue":"9","key":"9_CR23","doi-asserted-by":"publisher","first-page":"2179","DOI":"10.1109\/TVCG.2016.2610422","volume":"23","author":"P Federico","year":"2016","unstructured":"Federico, P., et al.: A survey on visual approaches for analyzing scientific literature and patents. IEEE Trans. Visual Comput. Graph. 23(9), 2179\u20132198 (2016). https:\/\/doi.org\/10.1109\/TVCG.2016.2610422","journal-title":"IEEE Trans. Visual Comput. Graph."},{"issue":"2","key":"9_CR24","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1002\/asi.22968","volume":"65","author":"C Chen","year":"2014","unstructured":"Chen, C., Leydesdorff, L.: Patterns of connections and movements in dual-map overlays: a new method of publication portfolio analysis. J. Assoc. Inf. Sci. Technol. 65(2), 334\u2013351 (2014). https:\/\/doi.org\/10.1002\/asi.22968","journal-title":"J. Assoc. Inf. Sci. Technol."},{"key":"9_CR25","doi-asserted-by":"publisher","unstructured":"Chen, C.: Predictive effects of structural variation on citation counts. J. Am. Soc. Inf. Sci. Technol. 63(3), 431\u2013449 (2012). https:\/\/doi.org\/10.1002\/asi.21694","DOI":"10.1002\/asi.21694"},{"issue":"7","key":"9_CR26","doi-asserted-by":"publisher","first-page":"1386","DOI":"10.1002\/asi.21309","volume":"61","author":"C Chen","year":"2010","unstructured":"Chen, C., Ibekwe-SanJuan, F., Hou, J.: The structure and dynamics of cocitation clusters: a multiple-perspective cocitation analysis. J. Am. Soc. Inform. Sci. Technol. 61(7), 1386\u20131409 (2010). https:\/\/doi.org\/10.1002\/asi.21309","journal-title":"J. Am. Soc. Inform. Sci. Technol."},{"key":"9_CR27","doi-asserted-by":"crossref","unstructured":"Chen, C.: Searching for intellectual turning points: progressive knowledge domain visualization. Proc. Natl. Acad. Sci. 101(suppl 1), 5303\u20135310 (2004)","DOI":"10.1073\/pnas.0307513100"},{"issue":"9","key":"9_CR28","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.1517\/14712598.2014.920813","volume":"14","author":"C Chen","year":"2014","unstructured":"Chen, C., Dubin, R., Kim, M.C.: Emerging trends and new developments in regenerative medicine: a scientometric update (2000\u20132014). Expert Opin. Biol. Ther. 14(9), 1295\u20131317 (2014). https:\/\/doi.org\/10.1517\/14712598.2014.920813","journal-title":"Expert Opin. Biol. Ther."},{"key":"9_CR29","unstructured":"Reuters, T.: Web of Science (2012)"},{"key":"9_CR30","doi-asserted-by":"crossref","unstructured":"Chen, H., et al.: Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security. Springer Science & Business Media (2008)","DOI":"10.1007\/978-0-387-71613-8"},{"issue":"1","key":"9_CR31","first-page":"22","volume":"16","author":"KW Church","year":"1990","unstructured":"Church, K.W., Hanks, P.: Word association norms, mutual information, and lexicography. Comput. Linguist. 16(1), 22\u201329 (1990)","journal-title":"Comput. Linguist."},{"key":"9_CR32","doi-asserted-by":"publisher","unstructured":"Campello, R.J.G.B., Hruschka, E.R.: A fuzzy extension of the silhouette width criterion for cluster analysis. Fuzzy Sets Syst. 157(21), 2858\u20132875 (2006). https:\/\/doi.org\/10.1016\/j.fss.2006.07.006","DOI":"10.1016\/j.fss.2006.07.006"},{"key":"9_CR33","doi-asserted-by":"publisher","unstructured":"Aizawa, A.: An information-theoretic perspective of tf\u2013idf measures. Inf. Process. Manag. 39(1), 45\u201365 (2003),. https:\/\/doi.org\/10.1016\/s0306-4573(02)00021-3","DOI":"10.1016\/s0306-4573(02)00021-3"},{"key":"9_CR34","unstructured":"Quackenbush, S.R., Barnwell, T.P., Clements, M.A.: Objective Measures of Speech Quality. Prentice Hall (1988)"},{"key":"9_CR35","doi-asserted-by":"publisher","unstructured":"Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web, pp. 851\u2013860. ACM, Raleigh, North Carolina, USA (2010). https:\/\/doi.org\/10.1145\/1772690.1772777","DOI":"10.1145\/1772690.1772777"},{"key":"9_CR36","doi-asserted-by":"publisher","unstructured":"Sankaranarayanan, J., et al.: Twitterstand: news in tweets. In: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 42\u201351. ACM, Seattle, Washington, USA (2009). https:\/\/doi.org\/10.1145\/1653771.1653781","DOI":"10.1145\/1653771.1653781"},{"key":"9_CR37","doi-asserted-by":"publisher","unstructured":"Phuvipadawat, S., Murata, T.: Breaking news detection and tracking in Twitter. In: 2010 IEEE\/WIC\/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol. 3, pp. 120\u2013123. IEEE, Toronto, ON, Canada (2010). https:\/\/doi.org\/10.1109\/wi-iat.2010.205","DOI":"10.1109\/wi-iat.2010.205"},{"key":"9_CR38","doi-asserted-by":"publisher","unstructured":"Lee, R., Sumiya, K.: Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection. In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks, pp. 1\u201310. ACM, San Jose, California, USA (2010). https:\/\/doi.org\/10.1145\/1867699.1867701","DOI":"10.1145\/1867699.1867701"},{"key":"9_CR39","doi-asserted-by":"publisher","unstructured":"Li, R., et al.: Tedas: a twitter-based event detection and analysis system. In: 2012 IEEE 28th International Conference on Data Engineering, pp. 1273\u20131276. IEEE, Washington, DC, USA (2012). https:\/\/doi.org\/10.1109\/icde.2012.125","DOI":"10.1109\/icde.2012.125"},{"key":"9_CR40","doi-asserted-by":"publisher","unstructured":"Mathioudakis, M., Koudas, N.: Twittermonitor: trend detection over the twitter stream. In: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, pp. 1155\u20131158. ACM, Indianapolis, Indiana, USA (2010). https:\/\/doi.org\/10.1145\/1807167.1807306","DOI":"10.1145\/1807167.1807306"},{"key":"9_CR41","unstructured":"Petrovi\u0107, S., Osborne, M., Lavrenko, V.: Streaming first story detection with application to twitter. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 181\u2013189. Association for Computational Linguistics, Los Angeles, California, USA (2010)"},{"key":"9_CR42","doi-asserted-by":"publisher","unstructured":"Marcus, A., et al.: Twitinfo: aggregating and visualizing microblogs for event exploration. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 227\u2013236. ACM, Vancouver, BC, Canada (2011). https:\/\/doi.org\/10.1145\/1978942.1978975","DOI":"10.1145\/1978942.1978975"},{"key":"9_CR43","doi-asserted-by":"publisher","unstructured":"Watanabe, K., et al.: Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 2541\u20132544. ACM, Glasgow, Scotland, UK (2011). https:\/\/doi.org\/10.1145\/2063576.2064014","DOI":"10.1145\/2063576.2064014"},{"key":"9_CR44","doi-asserted-by":"publisher","unstructured":"Cataldi, M., Di Caro, L., Schifanella, C.: Emerging topic detection on twitter based on temporal and social terms evaluation. In: Proceedings of the Tenth International Workshop on Multimedia Data Mining. ACM, Washington, DC, USA (2010). https:\/\/doi.org\/10.1145\/1814245.1814249","DOI":"10.1145\/1814245.1814249"},{"key":"9_CR45","doi-asserted-by":"publisher","unstructured":"Gaglio, S., Lo Re, G., Morana, M.: Real-time detection of twitter social events from the user\u2019s perspective. In: 2015 IEEE International Conference on Communications (ICC), pp. 1207\u20131212. IEEE, London, UK (2015). https:\/\/doi.org\/10.1109\/icc.2015.7248487","DOI":"10.1109\/icc.2015.7248487"},{"issue":"2","key":"9_CR46","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s41324-017-0094-6","volume":"25","author":"Y Lee","year":"2017","unstructured":"Lee, Y., Nam, K.W., Ryu, K.H.: Fast mining of spatial frequent wordset from social database. Spat. Inf. Res. 25(2), 271\u2013280 (2017). https:\/\/doi.org\/10.1007\/s41324-017-0094-6","journal-title":"Spat. Inf. Res."},{"key":"9_CR47","doi-asserted-by":"publisher","unstructured":"Petkos, G., et al.: A soft frequent pattern mining approach for textual topic detection. In: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), p. 25. ACM, Thessaloniki, Greece (2014). https:\/\/doi.org\/10.1145\/2611040.2611068","DOI":"10.1145\/2611040.2611068"},{"key":"9_CR48","doi-asserted-by":"publisher","unstructured":"Huang, J., Peng, M., Wang, H.: Topic detection from large scale of microblog stream with high utility pattern clustering. In: Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, pp. 3\u201310. ACM, Melbourne, Australia (2015). https:\/\/doi.org\/10.1145\/2809890.2809894","DOI":"10.1145\/2809890.2809894"},{"issue":"8","key":"9_CR49","doi-asserted-by":"publisher","first-page":"3861","DOI":"10.1016\/j.eswa.2013.11.038","volume":"41","author":"U Yun","year":"2014","unstructured":"Yun, U., Ryang, H., Ho Ryu, K.: High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates. Expert Syst. Appl. 41(8), 3861\u20133878 (2014). https:\/\/doi.org\/10.1016\/j.eswa.2013.11.038","journal-title":"Expert Syst. Appl."},{"key":"9_CR50","doi-asserted-by":"publisher","unstructured":"Dong, G., Li, J.: Efficient mining of emerging patterns: discovering trends and differences. In: Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 43\u201352. ACM, San Diego, California, USA (1999). https:\/\/doi.org\/10.1145\/312129.312191","DOI":"10.1145\/312129.312191"},{"issue":"4","key":"9_CR51","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1109\/TKDE.2012.29","volume":"25","author":"T Sakaki","year":"2013","unstructured":"Sakaki, T., Okazaki, M., Matsuo, Y.: Tweet analysis for real-time event detection and earthquake reporting system development. IEEE Trans. Knowl. Data Eng. 25(4), 919\u2013931 (2013). https:\/\/doi.org\/10.1109\/TKDE.2012.29","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Studies in Computational Intelligence","Modern Approaches for Intelligent Information and Database Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-76081-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T13:22:23Z","timestamp":1570800143000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-76081-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319760803","9783319760810"],"references-count":51,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-76081-0_9","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2018]]}}}