{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T03:28:46Z","timestamp":1768793326049,"version":"3.49.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,2,24]],"date-time":"2020-02-24T00:00:00Z","timestamp":1582502400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,2,24]],"date-time":"2020-02-24T00:00:00Z","timestamp":1582502400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Inf Syst Front"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1007\/s10796-020-09994-3","type":"journal-article","created":{"date-parts":[[2020,2,24]],"date-time":"2020-02-24T11:07:22Z","timestamp":1582542442000},"page":"115-134","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Mining Social Networks to Detect Traffic Incidents"],"prefix":"10.1007","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5375-4373","authenticated-orcid":false,"given":"Sebasti\u00e1n","family":"Vallejos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego G.","family":"Alonso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Caimmi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Berdun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcelo G.","family":"Armentano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1lvaro","family":"Soria","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,2,24]]},"reference":[{"issue":"May","key":"9994_CR1","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.compind.2015.10.005","volume":"78","author":"FC Albuquerque","year":"2016","unstructured":"Albuquerque, F. C., Casanova, M. A., Lopes, H., Redlich, L. R., de Macedo, J. A. F., Lemos, M., de Carvalho, M. T. M., & Renso, C. (2016). A methodology for traffic-related twitter messages interpretation. Computers in Industry, 78(May), 57\u201369.","journal-title":"Computers in Industry"},{"key":"9994_CR2","unstructured":"Bothorel, C\u00e9cile, Neal Lathia, Romain Picot-Clemente, and Anastasios Noulas. 2018. \u201cLocation recommendation with social media data.\u201d In Lecture Notes in Computer Science, 624\u2013653."},{"key":"9994_CR3","volume-title":"Edited by Rosaldo Rossetti","author":"Carvalho","year":"2010","unstructured":"Carvalho. (2010). Real-Time Sensing of Traffic Information in Twitter Messages. In Edited by Rosaldo Rossetti. Master: Universidade do Porto."},{"issue":"4","key":"9994_CR4","doi-asserted-by":"publisher","first-page":"2269","DOI":"10.1109\/TITS.2015.2404431","volume":"16","author":"E D\u2019Andrea","year":"2015","unstructured":"D\u2019Andrea, E., Ducange, P., Lazzerini, B., & Marcelloni, F. (2015). Real-time detection of traffic from twitter stream analysis. IEEE Transactions on Intelligent Transportation Systems, 16(4), 2269\u20132283.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"9994_CR5","doi-asserted-by":"publisher","unstructured":"Dabiri, Sina, and Kevin Heaslip. 2019. \u201cDeveloping a twitter-based traffic event detection model using deep learning architectures.\u201d Expert Systems with Applications.https:\/\/doi.org\/10.1016\/j.eswa.2018.10.017.","DOI":"10.1016\/j.eswa.2018.10.017"},{"key":"9994_CR6","unstructured":"Endarnoto, Sri Krisna, Sonny Pradipta, Anto Satriyo Nugroho, and James Purnama. 2011. \u201cTraffic Condition Information Extraction & Visualization from social media twitter for android Mobile application.\u201d In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, 1\u20134."},{"key":"9994_CR7","doi-asserted-by":"crossref","unstructured":"Ertekin, Seyda, Jian Huang, Leon Bottou, and Lee Giles. 2007. \u201cLearning on the Border: Active Learning in Imbalanced Data Classification.\u201d In Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, 127\u201336. CIKM \u201807. New York, NY, USA: ACM.","DOI":"10.1145\/1321440.1321461"},{"issue":"June","key":"9994_CR8","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.trc.2016.02.011","volume":"67","author":"Y Gu","year":"2016","unstructured":"Gu, Y., Qian, Z., & Chen, F. (2016). From twitter to detector: Real-time traffic incident detection using social media data. Transportation Research Part C: Emerging Technologies, 67(June), 321\u2013342.","journal-title":"Transportation Research Part C: Emerging Technologies"},{"key":"9994_CR9","doi-asserted-by":"crossref","unstructured":"Kamran, Shoaib, and Olivier Haas. 2007. \u201cA Multilevel Traffic Incidents Detection Approach: Identifying Traffic Patterns and Vehicle Behaviours Using Real-Time GPS Data.\u201d In Intelligent Vehicles Symposium, 2007 IEEE, 912\u201317. IEEE.","DOI":"10.1109\/IVS.2007.4290233"},{"key":"9994_CR10","unstructured":"K\u00f6knar-Tezel, Suzan, and Longin Jan Latecki. 2009. \u201cImproving SVM classification on imbalanced data sets in distance spaces.\u201d In 2009 Ninth IEEE International Conference on Data Mining, 259\u2013267."},{"key":"9994_CR11","unstructured":"Kozareva, Zornitsa, Boyan Bonev, and Andres Montoyo. 2005. \u201cSelf-Training and Co-Training Applied to Spanish Named Entity Recognition.\u201d In Lecture Notes in Computer Science, 770\u201379."},{"issue":"April","key":"9994_CR12","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.trc.2017.02.003","volume":"77","author":"T Kuflik","year":"2017","unstructured":"Kuflik, T., Minkov, E., Nocera, S., Grant-Muller, S., Gal-Tzur, A., & Shoor, I. (2017). Automating a framework to extract and analyse transport related social media content: The potential and the challenges. Transportation Research Part C: Emerging Technologies, 77(April), 275\u2013291.","journal-title":"Transportation Research Part C: Emerging Technologies"},{"key":"9994_CR13","doi-asserted-by":"crossref","unstructured":"Levenshtein, V. 1996. \u201cLower Bounds on Cross-Correlation of Codes.\u201d In Proceedings of ISSSTA\u201995 International Symposium on Spread Spectrum Techniques and Applications, 2:657\u201361 vol.2.","DOI":"10.1109\/ISSSTA.1996.563207"},{"issue":"5","key":"9994_CR14","doi-asserted-by":"publisher","first-page":"93","DOI":"10.5121\/ijaia.2014.5508","volume":"5","author":"AK Mandal","year":"2014","unstructured":"Mandal, A. K., & Sen, R. (2014). Supervised learning methods for Bangla web document categorization. International Journal of Artificial Intelligence & Applications, 5(5), 93\u2013105.","journal-title":"International Journal of Artificial Intelligence & Applications"},{"key":"9994_CR15","doi-asserted-by":"crossref","unstructured":"Manning, Christopher D., Prabhakar Raghavan, and Hinrich Sch\u00fctze. 2008. Introduction to Information Retrieval. Cambridge University Press.","DOI":"10.1017\/CBO9780511809071"},{"key":"9994_CR16","doi-asserted-by":"crossref","unstructured":"Manning, C., M. Surdeanu, J. Bauer, and J. Finkel. 2014. \u201cThe Stanford CoreNLP Natural Language Processing Toolkit.\u201d Proceedings of 52nd.http:\/\/www.aclweb.org\/anthology\/P14-5010.","DOI":"10.3115\/v1\/P14-5010"},{"key":"9994_CR17","doi-asserted-by":"publisher","unstructured":"Pereira, Jo\u00e3o, Arian Pasquali, Pedro Saleiro, and Rosaldo Rossetti. 2017. \u201cTransportation in social media: An automatic classifier for travel-related tweets.\u201d Progress in Artificial Intelligencehttps:\/\/doi.org\/10.1007\/978-3-319-65340-2_30.","DOI":"10.1007\/978-3-319-65340-2_30"},{"key":"9994_CR18","unstructured":"Ritter, Alan, Sam Clark, Mausam, and Oren Etzioni. 2011. \u201cNamed Entity Recognition in Tweets: An Experimental Study.\u201d In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 1524\u201334. EMNLP \u201811. Stroudsburg, PA, USA: Association for Computational Linguistics."},{"key":"9994_CR19","unstructured":"Schneider, Karl-Michael. 2005. \u201cTechniques for improving the performance of naive Bayes for text classification.\u201d In Lecture Notes in Computer Science, 682\u201393."},{"key":"9994_CR20","unstructured":"Schulz, Axel, Petar Ristoski, and Heiko Paulheim. 2013. \u201cI See a Car Crash: Real-Time Detection of Small Scale Incidents in Microblogs: 25th International Conference, CAiSE 2013, Valencia, Spain, June 17\u201321, 2013. Proceedings.\u201d In Advanced Information Systems Engineering, edited by Camille Salinesi, Moira C. Norrie, and \u00d3scar Pastor, 7908:22\u201333. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg."},{"key":"9994_CR21","doi-asserted-by":"publisher","unstructured":"Sumalee, Agachai, and Hung Wai Ho. 2018. \u201cSmarter and more connected: Future intelligent transportation system.\u201d IATSS Research. https:\/\/doi.org\/10.1016\/j.iatssr.2018.05.005.","DOI":"10.1016\/j.iatssr.2018.05.005"},{"key":"9994_CR22","unstructured":"Wanichayapong, Napong, Wasawat Pruthipunyaskul, Wasan Pattara-Atikom, and Pimwadee Chaovalit. 2011. \u201cSocial-Based Traffic Information Extraction and Classification.\u201d In 2011 11th International Conference on ITS Telecommunications, 107\u201312."},{"key":"9994_CR23","unstructured":"Yang, Zhenglu, Jianjun Yu, and Masaru Kitsuregawa. 2010. \u201cFast algorithms for top-K approximate string matching.\u201d In AAAI. Vol. 1463.http:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI10\/paper\/viewFile\/1939\/2234."},{"key":"9994_CR24","doi-asserted-by":"publisher","unstructured":"Zhou, Xiaokang, and Qun Jin. 2011. \u201cDynamical User Networking and Profiling Based on Activity Streams for Enhanced Social Learning.\u201d Advances in Web-Based Learning - ICWL 2011.https:\/\/doi.org\/10.1007\/978-3-642-25813-8_23.","DOI":"10.1007\/978-3-642-25813-8_23"}],"container-title":["Information Systems Frontiers"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10796-020-09994-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10796-020-09994-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10796-020-09994-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T00:43:15Z","timestamp":1614040995000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10796-020-09994-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,24]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,2]]}},"alternative-id":["9994"],"URL":"https:\/\/doi.org\/10.1007\/s10796-020-09994-3","relation":{},"ISSN":["1387-3326","1572-9419"],"issn-type":[{"value":"1387-3326","type":"print"},{"value":"1572-9419","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,24]]},"assertion":[{"value":"24 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}