{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T15:18:04Z","timestamp":1785856684372,"version":"3.56.0"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"1-2","license":[{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1007\/s10479-020-03684-8","type":"journal-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T10:03:41Z","timestamp":1594375421000},"page":"339-371","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using crowdsourcing"],"prefix":"10.1007","volume":"308","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1387-7082","authenticated-orcid":false,"given":"Christopher","family":"Loynes","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jamal","family":"Ouenniche","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johannes","family":"De Smedt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,7,10]]},"reference":[{"key":"3684_CR1","doi-asserted-by":"crossref","unstructured":"Abel, F., Hauff, C., Houben, G. J., Stronkman, R., & Tao, K. (2012). Twitcident: Fighting fire with information from social web streams. In Proceedings of the 21st international conference on world wide web (pp. 305\u2013308). ACM","DOI":"10.1145\/2187980.2188035"},{"key":"3684_CR2","doi-asserted-by":"crossref","unstructured":"Achrekar, H., Gandhe, A., Lazarus, R., Yu, S. H., & Liu, B. (2012). Online social networks flu trend tracker: A novel sensory approach to predict flu trends. In International joint conference on biomedical engineering systems and technologies (pp. 353\u2013368). Springer.","DOI":"10.1007\/978-3-642-38256-7_24"},{"key":"3684_CR3","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/978-1-4614-3223-4_4","volume-title":"Mining text data","author":"CC Aggarwal","year":"2012","unstructured":"Aggarwal, C. C., & Zhai, C. (2012). A survey of text clustering algorithms. In C. Aggarwal & C. Zhai (Eds.), Mining text data (pp. 77\u2013128). Berlin: Springer."},{"key":"3684_CR4","unstructured":"Ashktorab, Z., Brown, C., Nandi, M., & Culotta, A. (2014). Tweedr: Mining twitter to inform disaster response. In ISCRAM."},{"issue":"1","key":"3684_CR5","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1111\/coin.12017","volume":"31","author":"F Atefeh","year":"2015","unstructured":"Atefeh, F., & Khreich, W. (2015). A survey of techniques for event detection in twitter. Computational Intelligence, 31(1), 132\u2013164.","journal-title":"Computational Intelligence"},{"key":"3684_CR6","doi-asserted-by":"crossref","unstructured":"Baldwin, T., & Li, Y. (2015). An in-depth analysis of the effect of text normalization in social media. In Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: human language technologies (pp. 420\u2013429).","DOI":"10.3115\/v1\/N15-1045"},{"key":"3684_CR7","doi-asserted-by":"crossref","unstructured":"Becker, H., Naaman, M., & Gravano, L. (2010). Learning similarity metrics for event identification in social media. In Proceedings of the third ACM international conference on web search and data mining (pp. 291\u2013300). ACM.","DOI":"10.1145\/1718487.1718524"},{"key":"3684_CR8","unstructured":"Bontcheva, K., Derczynski, L., Funk, A., Greenwood, M., Maynard, D., & Aswani, N. (2013). Twitie: An open-source information extraction pipeline for microblog text. In Proceedings of the international conference recent advances in natural language processing RANLP 2013 (pp. 83\u201390)."},{"key":"3684_CR9","doi-asserted-by":"crossref","unstructured":"Cameron, M. A., Power, R., Robinson, B., & Yin, J. (2012). Emergency situation awareness from twitter for crisis management. In Proceedings of the 21st international conference on world wide web (pp. 695\u2013698). ACM.","DOI":"10.1145\/2187980.2188183"},{"key":"3684_CR10","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.patrec.2016.08.010","volume":"93","author":"J Capdevila","year":"2017","unstructured":"Capdevila, J., Cerquides, J., Nin, J., & Torres, J. (2017). Tweet-scan: An event discovery technique for geo-located tweets. Pattern Recognition Letters, 93, 58\u201368.","journal-title":"Pattern Recognition Letters"},{"key":"3684_CR11","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002). Smote: Synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16, 321\u2013357.","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"6","key":"3684_CR12","doi-asserted-by":"publisher","first-page":"e97807","DOI":"10.1371\/journal.pone.0097807","volume":"9","author":"T Cheng","year":"2014","unstructured":"Cheng, T., & Wicks, T. (2014). Event detection using twitter: A spatio-temporal approach. PloS One, 9(6), e97807.","journal-title":"PloS One"},{"key":"3684_CR13","unstructured":"Cordeiro, M. (2012). Twitter event detection: Combining wavelet analysis and topic inference summarization. In Doctoral symposium on informatics engineering (pp. 11\u201316)."},{"issue":"4","key":"3684_CR14","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1080\/13658816.2014.996567","volume":"29","author":"JP De Albuquerque","year":"2015","unstructured":"De Albuquerque, J. P., Herfort, B., Brenning, A., & Zipf, A. (2015). A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. International Journal of Geographical Information Science, 29(4), 667\u2013689.","journal-title":"International Journal of Geographical Information Science"},{"key":"3684_CR15","doi-asserted-by":"crossref","unstructured":"Dhavase, N., & Bagade, A. (2014). Location identification for crime & disaster events by geoparsing twitter. In 2014 International conference for convergence of technology (I2CT) (pp. 1\u20133). IEEE.","DOI":"10.1109\/I2CT.2014.7092336"},{"issue":"1","key":"3684_CR16","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1186\/1471-2105-7-3","volume":"7","author":"R D\u00edaz-Uriarte","year":"2006","unstructured":"D\u00edaz-Uriarte, R., & De Andres, S. A. (2006). Gene selection and classification of microarray data using random forest. BMC Bioinformatics, 7(1), 3.","journal-title":"BMC Bioinformatics"},{"key":"3684_CR17","unstructured":"Dittrich, A., & Lucas, C. (2014). Is this twitter event a disaster?"},{"key":"3684_CR18","unstructured":"Duan, Y., Chen, Z., Wei, F., Zhou, M., & Shum, H. Y. (2012). Twitter topic summarization by ranking tweets using social influence and content quality. In Proceedings of COLING, 2012 (pp. 763\u2013780)."},{"key":"3684_CR19","doi-asserted-by":"crossref","unstructured":"Finkel, J. R., Grenager, T., & Manning, C. (2005). Incorporating non-local information into information extraction systems by gibbs sampling. In Proceedings of the 43rd annual meeting on association for computational linguistics (pp. 363\u2013370). Association for Computational Linguistics.","DOI":"10.3115\/1219840.1219885"},{"key":"3684_CR20","doi-asserted-by":"crossref","unstructured":"Goldschmidt, K. H., & Kumar, S. (2019). Reducing the cost of humanitarian operations through disaster preparation andpreparedness. Annals of Operations Research, 283(1), 1139\u20131152.","DOI":"10.1007\/s10479-017-2587-z"},{"key":"3684_CR21","unstructured":"Guha-Sapir, D., Below, R., & Hoyois, P. (2016). Em-dat: The cred\/ofda international disaster database. Brussels: Universit\u00e9 catholique de louvain."},{"key":"3684_CR22","doi-asserted-by":"crossref","unstructured":"Habdank, M., Rodehutskors, N., & Koch, R. (2017). Relevancy assessment of tweets using supervised learning techniques: Mining emergency related tweets for automated relevancy classification. In 2017 4th International conference on information and communication technologies for disaster management (ICT-DM) (pp. 1\u20138). IEEE.","DOI":"10.1109\/ICT-DM.2017.8275670"},{"key":"3684_CR23","unstructured":"He, H., Bai, Y., Garcia, E. A., & Li, S. (2008). Adasyn: Adaptive synthetic sampling approach for imbalanced learning. In IEEE international joint conference on neural networks, 2008. IJCNN 2008. (IEEE world congress on computational intelligence) (pp. 1322\u20131328). IEEE."},{"issue":"2","key":"3684_CR24","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.ipm.2017.11.001","volume":"54","author":"TBN Hoang","year":"2018","unstructured":"Hoang, T. B. N., & Mothe, J. (2018). Location extraction from tweets. Information Processing & Management, 54(2), 129\u2013144.","journal-title":"Information Processing & Management"},{"key":"3684_CR25","unstructured":"Hsu, C. W., Chang, C. C., Lin, C. J., et\u00a0al. (2003). A practical guide to support vector classification."},{"key":"3684_CR26","unstructured":"Imran, M., Elbassuoni, S., Castillo, C., Diaz, F., & Meier, P. (2013). Extracting information nuggets from disaster-related messages in social media. In Iscram."},{"key":"3684_CR27","unstructured":"Imran, M., Mitra, P., Castillo, C. (2016). Twitter as a lifeline: Human-annotated twitter corpora for nlp of crisis-related messages. In Proceedings of the tenth international conference on language resources and evaluation (LREC), 2016. Paris: European Language Resources Association (ELRA)."},{"issue":"4","key":"3684_CR28","doi-asserted-by":"publisher","first-page":"2246","DOI":"10.3390\/ijgi4042246","volume":"4","author":"B Jongman","year":"2015","unstructured":"Jongman, B., Wagemaker, J., Romero, B. R., & de Perez, E. C. (2015). Early flood detection for rapid humanitarian response: harnessing near real-time satellite and twitter signals. ISPRS International Journal of Geo-Information, 4(4), 2246\u20132266.","journal-title":"ISPRS International Journal of Geo-Information"},{"key":"3684_CR29","doi-asserted-by":"publisher","DOI":"10.5117\/9789089641076","volume-title":"Doing good or doing better. Development policies in a globalizing world","author":"M Kremer","year":"2009","unstructured":"Kremer, M., van Lieshout, P., & Went, R. (2009). Doing good or doing better. Development policies in a globalizing world. Amsterdam: Amsterdam University Press."},{"issue":"3","key":"3684_CR30","first-page":"231","volume":"1","author":"HP Kriegel","year":"2011","unstructured":"Kriegel, H. P., Kr\u00f6ger, P., Sander, J., & Zimek, A. (2011). Density-based clustering. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1(3), 231\u2013240.","journal-title":"Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"},{"key":"3684_CR31","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.ssci.2016.04.012","volume":"90","author":"PM Landwehr","year":"2016","unstructured":"Landwehr, P. M., Wei, W., Kowalchuck, M., & Carley, K. M. (2016). Using tweets to support disaster planning, warning and response. Safety Science, 90, 33\u201347.","journal-title":"Safety Science"},{"issue":"10","key":"3684_CR32","doi-asserted-by":"publisher","first-page":"9623","DOI":"10.1016\/j.eswa.2012.02.136","volume":"39","author":"CH Lee","year":"2012","unstructured":"Lee, C. H. (2012). Mining spatio-temporal information on microblogging streams using a density-based online clustering method. Expert Systems with Applications, 39(10), 9623\u20139641.","journal-title":"Expert Systems with Applications"},{"key":"3684_CR33","doi-asserted-by":"crossref","unstructured":"Lee, C. H., Wu, C. H., & Chien, T. F. (2011). Burst: A dynamic term weighting scheme for mining microblogging messages. In International symposium on neural networks (pp. 548\u2013557). Springer.","DOI":"10.1007\/978-3-642-21111-9_62"},{"key":"3684_CR34","unstructured":"Li, H., Guevara, N., Herndon, N., Caragea, D., Neppalli, K., Caragea, C., Squicciarini, A. C., & Tapia, A.H. (2015). Twitter mining for disaster response: A domain adaptation approach. In ISCRAM"},{"key":"3684_CR35","doi-asserted-by":"crossref","unstructured":"Li, R., Lei, K. H., Khadiwala, R., & Chang, K. C. C. (2012). Tedas: A twitter-based event detection and analysis system. In: 2012 IEEE 28th international conference on sata engineering (ICDE) (pp. 1273\u20131276). IEEE.","DOI":"10.1109\/ICDE.2012.125"},{"key":"3684_CR36","doi-asserted-by":"crossref","unstructured":"Long, R., Wang, H., Chen, Y., Jin, O., & Yu, Y. (2011). Towards effective event detection, tracking and summarization on microblog data. In International conference on web-age information management (pp. 652\u2013663). Springer.","DOI":"10.1007\/978-3-642-23535-1_55"},{"key":"3684_CR37","doi-asserted-by":"crossref","unstructured":"Maldonado, M., Alulema, D., Morocho, D., & Proa\u00f1o, M. (2016). System for monitoring natural disasters using natural language processing in the social network twitter. In: 2016 IEEE international carnahan conference on security technology (ICCST) (pp. 1\u20136). IEEE.","DOI":"10.1109\/CCST.2016.7815686"},{"key":"3684_CR38","doi-asserted-by":"crossref","unstructured":"Marcus, A., Bernstein, M. S., Badar, O., Karger, D. R., Madden, S., & Miller, R. C. (2011). Twitinfo: Aggregating and visualizing microblogs for event exploration. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 227\u2013236). ACM.","DOI":"10.1145\/1978942.1978975"},{"key":"3684_CR39","doi-asserted-by":"crossref","unstructured":"Mathioudakis, M., & Koudas, N. (2010). Twittermonitor: Trend detection over the twitter stream. In Proceedings of the 2010 ACM SIGMOD international conference on management of data (pp. 1155\u20131158). ACM.","DOI":"10.1145\/1807167.1807306"},{"key":"3684_CR40","volume-title":"Five balltree construction algorithms","author":"SM Omohundro","year":"1989","unstructured":"Omohundro, S. M. (1989). Five balltree construction algorithms. Berkeley: International Computer Science Institute."},{"issue":"6","key":"3684_CR41","doi-asserted-by":"publisher","first-page":"1227","DOI":"10.1016\/j.ipm.2016.06.001","volume":"52","author":"O Ozdikis","year":"2016","unstructured":"Ozdikis, O., O\u011fuzt\u00fcz\u00fcn, H., & Karagoz, P. (2016). Evidential estimation of event locations in microblogs using the dempster-shafer theory. Information Processing & Management, 52(6), 1227\u20131246.","journal-title":"Information Processing & Management"},{"key":"3684_CR42","doi-asserted-by":"crossref","unstructured":"Popescu, A. M., Pennacchiotti, M., & Paranjpe, D. (2011). Extracting events and event descriptions from twitter. In Proceedings of the 20th international conference companion on World wide web (pp. 105\u2013106). ACM.","DOI":"10.1145\/1963192.1963246"},{"issue":"Jan","key":"3684_CR43","first-page":"101","volume":"5","author":"R Rifkin","year":"2004","unstructured":"Rifkin, R., & Klautau, A. (2004). In defense of one-vs-all classification. Journal of Machine Learning Research, 5(Jan), 101\u2013141.","journal-title":"Journal of Machine Learning Research"},{"key":"3684_CR44","unstructured":"Ritter, A., Clark, S., Etzioni, O., et\u00a0al. (2011). Named entity recognition in tweets: An experimental study. In Proceedings of the conference on empirical methods in natural language processing (pp. 1524\u20131534). Association for Computational Linguistics."},{"key":"3684_CR45","doi-asserted-by":"crossref","unstructured":"Sakaki, T., Okazaki, M., & Matsuo, Y. (2010). 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.","DOI":"10.1145\/1772690.1772777"},{"issue":"4","key":"3684_CR46","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. (2013). Tweet analysis for real-time event detection and earthquake reporting system development. IEEE Transactions on Knowledge and Data Engineering, 25(4), 919\u2013931.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"3684_CR47","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.proeng.2015.06.085","volume":"107","author":"HM Saleem","year":"2015","unstructured":"Saleem, H. M., Al Zamal, F., & Ruths, D. (2015). Tackling the challenges of situational awareness extraction in twitter with an adaptive approach. Procedia Engineering, 107, 301\u2013311.","journal-title":"Procedia Engineering"},{"key":"3684_CR48","doi-asserted-by":"crossref","unstructured":"Samant, S. S., Murthy, N. B., & Malapati, A. (2017). Bigram-based features for real-world event identification from microblogs. In 2017 8th international conference on computing, communication and networking technologies (ICCCNT) (pp. 1\u20136). IEEE.","DOI":"10.1109\/ICCCNT.2017.8204004"},{"issue":"2","key":"3684_CR49","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1023\/A:1009745219419","volume":"2","author":"J Sander","year":"1998","unstructured":"Sander, J., Ester, M., Kriegel, H. P., & Xu, X. (1998). Density-based clustering in spatial databases: The algorithm gdbscan and its applications. Data Mining and Knowledge Discovery, 2(2), 169\u2013194.","journal-title":"Data Mining and Knowledge Discovery"},{"key":"3684_CR50","doi-asserted-by":"crossref","unstructured":"Sankaranarayanan, J., Samet, H., Teitler, B. E., Lieberman, M. D., & Sperling, J. (2009). Twitterstand: News in tweets. In Proceedings of the 17th ACM sigspatial international conference on advances in geographic information systems (pp. 42\u201351). ACM.","DOI":"10.1145\/1653771.1653781"},{"issue":"6","key":"3684_CR51","doi-asserted-by":"publisher","first-page":"8-1","DOI":"10.1147\/JRD.2017.2729238","volume":"61","author":"W Sherchan","year":"2017","unstructured":"Sherchan, W., Pervin, S., Butler, C., Lai, J., Ghahremanlou, L., & Han, B. (2017). Harnessing twitter and instagram for disaster management. IBM Journal of Research and Development, 61(6), 8-1.","journal-title":"IBM Journal of Research and Development"},{"issue":"21","key":"3684_CR52","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1002\/2014EO210001","volume":"95","author":"WH Smith","year":"2014","unstructured":"Smith, W. H., & Marks, K. M. (2014). Seafloor in the malaysia airlines flight mh370 search area. Eos, Transactions American Geophysical Union, 95(21), 173\u2013174.","journal-title":"Eos, Transactions American Geophysical Union"},{"issue":"4","key":"3684_CR53","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1016\/j.ipm.2009.03.002","volume":"45","author":"M Sokolova","year":"2009","unstructured":"Sokolova, M., & Lapalme, G. (2009). A systematic analysis of performance measures for classification tasks. Information Processing & Management, 45(4), 427\u2013437.","journal-title":"Information Processing & Management"},{"issue":"1","key":"3684_CR54","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1108\/eb026526","volume":"28","author":"K Sparck Jones","year":"1972","unstructured":"Sparck Jones, K. (1972). A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 28(1), 11\u201321.","journal-title":"Journal of Documentation"},{"key":"3684_CR55","doi-asserted-by":"crossref","unstructured":"Suliman, A. T., Al\u00a0Kaabi, K., Wang, D., Al-Rubaie, A., Al\u00a0Dhanhani, A., Ruta, D., et al. (2016). Event identification and assertion from social media using auto-extendable knowledge base. In 2016 International joint conference on neural networks (IJCNN) (pp. 4443\u20134450). IEEE.","DOI":"10.1109\/IJCNN.2016.7727781"},{"key":"3684_CR56","doi-asserted-by":"crossref","unstructured":"To, H., Agrawal, S., Kim, S. H., & Shahabi, C. (2017). On identifying disaster-related tweets: Matching-based or learning-based? In 2017 IEEE third international conference on multimedia big data (BigMM) (pp. 330\u2013337). IEEE.","DOI":"10.1109\/BigMM.2017.82"},{"issue":"5","key":"3684_CR57","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1007\/s11280-014-0291-3","volume":"18","author":"S Unankard","year":"2015","unstructured":"Unankard, S., Li, X., & Sharaf, M. A. (2015). Emerging event detection in social networks with location sensitivity. World Wide Web, 18(5), 1393\u20131417.","journal-title":"World Wide Web"},{"key":"3684_CR58","unstructured":"Vieweg, S. E. (2012). Situational awareness in mass emergency: A behavioral and linguistic analysis of microblogged communications. Ph.D. thesis, University of Colorado at Boulder."},{"key":"3684_CR59","first-page":"401","volume":"11","author":"J Weng","year":"2011","unstructured":"Weng, J., & Lee, B. S. (2011). Event detection in twitter. ICWSM, 11, 401\u2013408.","journal-title":"ICWSM"},{"key":"3684_CR60","unstructured":"Xu, X., Ester, M., Kriegel, H. P., & Sander, J. (1998). A distribution-based clustering algorithm for mining in large spatial databases. In: 14th International conference on data engineering, 1998. Proceedings (pp. 324\u2013331). IEEE."},{"key":"3684_CR61","doi-asserted-by":"crossref","unstructured":"Zhang, C., Zhou, G., Yuan, Q., Zhuang, H., Zheng, Y., Kaplan, L., et al. (2016). Geoburst: Real-time local event detection in geo-tagged tweet streams. In Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval (pp. 513\u2013522). ACM.","DOI":"10.1145\/2911451.2911519"},{"issue":"3","key":"3684_CR62","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/s00778-013-0320-3","volume":"23","author":"X Zhou","year":"2014","unstructured":"Zhou, X., & Chen, L. (2014). Event detection over twitter social media streams. The VLDB Journal, 23(3), 381\u2013400.","journal-title":"The VLDB Journal"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-020-03684-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-020-03684-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-020-03684-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T14:14:19Z","timestamp":1641219259000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-020-03684-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,10]]},"references-count":62,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["3684"],"URL":"https:\/\/doi.org\/10.1007\/s10479-020-03684-8","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,10]]},"assertion":[{"value":"10 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}