{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:32:14Z","timestamp":1743089534600,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030868895"},{"type":"electronic","value":"9783030868901"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86890-1_26","type":"book-chapter","created":{"date-parts":[[2021,9,17]],"date-time":"2021-09-17T00:49:44Z","timestamp":1631839784000},"page":"464-480","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Microblog User Location Inference Based on POI and Query Likelihood Model"],"prefix":"10.1007","author":[{"given":"Yimin","family":"Liu","sequence":"first","affiliation":[]},{"given":"Xiangyang","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Han","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,17]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Zola, P., Ragno, C., Cortez, P.: A google trends spatial clustering approach for a worldwide twitter user geolocation. Information Processing & Management 57(6), 102312 (2020).","DOI":"10.1016\/j.ipm.2020.102312"},{"key":"26_CR2","unstructured":"Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe I.M.: Predicting elections with twitter: what 140 characters reveal about political sentiment. In: 4th International Conference on Weblogs and Social Media, pp. 178\u2013185. AAAI, Washington DC, USA (2010)."},{"issue":"4","key":"26_CR3","first-page":"1","volume":"13","author":"C Carmela","year":"2019","unstructured":"Carmela, C., Agostino, F., Clara, P.: Bursty event detection in twitter streams. ACM Trans. Knowl. Discov. Data 13(4), 1\u201328 (2019)","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"26_CR4","unstructured":"Lan, L., Malbasa, V., Vucetic, S.: Spatial scan for disease mapping on a mobile population. In: 28th AAAI conference on Artificial Intelligence, pp. 431\u2013437. AAAI, Qu\u00e9bec, Canada (2014)."},{"issue":"40","key":"26_CR5","first-page":"1","volume":"5","author":"A Heba","year":"2019","unstructured":"Heba, A., John, K., Gireeja, R., Horvitz, E.: To buy or not to buy: computing value of spatiotemporal information. ACM Transactions on Spatial Algorithms and Systems 5(40), 1\u201325 (2019)","journal-title":"ACM Transactions on Spatial Algorithms and Systems"},{"key":"26_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/978-3-030-61078-4_4","volume-title":"Information and Communications Security","author":"A Halimi","year":"2020","unstructured":"Halimi, A., Ayday, E.: Profile Matching Across Online Social Networks. In: Meng, W., Gollmann, D., Jensen, C.D., Zhou, J. (eds.) ICICS 2020. LNCS, vol. 12282, pp. 54\u201370. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-61078-4_4"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Chen, Z.Y., James, C., Kyumin, L.: You are where you tweet: a content-based approach to geo-locating twitter users. In: 19th ACM International Conference on Information and Knowledge Management, pp. 759\u2013768. ACM, Toronto, Canada (2010).","DOI":"10.1145\/1871437.1871535"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Ryoo, K.M., Moon, S.S.: Inferring twitter user locations with 10km accuracy. In: 23rd International Conference on World Wide Web, pp. 643\u2013648. ACM, Seoul, Korea (2014).","DOI":"10.1145\/2567948.2579236"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Rahimi, A., Vu, D., Cohn, T., Baldwin, T.: Exploiting text and network context for geolocation of social media users. In: 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 1362\u20131367. NAACL, Denver, USA (2015).","DOI":"10.3115\/v1\/N15-1153"},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Huang, B., Carley, K.M.: A hierarchical location prediction neural network for twitter user geolocation. In: 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pp. 4731\u20134741. ACL, Hong Kong, China (2019).","DOI":"10.18653\/v1\/D19-1480"},{"issue":"13","key":"26_CR11","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.14778\/2733004.2733060","volume":"7","author":"K Longbo","year":"2014","unstructured":"Longbo, K., Zhi, L., Yan, H.: Spot: Locating social media users based on social network context. Proceedings of the VLDB Endowment 7(13), 1681\u20131684 (2014)","journal-title":"Proceedings of the VLDB Endowment"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Tian, H.C., Zhang, M., Luo, X.Y., Liu, F.L., Qiao, Y.Q.: Twitter user location inference based on representation learning and label propagation. In: The Web Conference 2020, pp. 2648\u20132654. ACM, Taipei, Taiwan (2020).","DOI":"10.1145\/3366423.3380019"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Miura, Y., Taniguchi, M., Taniguchi, T., Ohkuma, T.: Unifying text, metadata, and user network representations with a neural network for geolocation prediction. In: 55th Annual Meeting of the Association for Computational Linguistics, pp. 1260\u20131272. ACL, Vancouver, Canada (2017).","DOI":"10.18653\/v1\/P17-1116"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Rahimi, A., Cohn, T., Baldwin, T.: Semi-supervised user geolocation via graph convolutional networks. In: 56th Annual Meeting of the Association for Computational Linguistics, pp. 2009\u20132019. ACL, Melbourne, Australia (2018).","DOI":"10.18653\/v1\/P18-1187"},{"key":"26_CR15","unstructured":"Ryan, C., David, J., David, A.: Geotagging one hundred million twitter accounts with total variation minimization. In: 2014 IEEE International Conference on Big Data, pp. 393\u2013401. IEEE, Washington DC, USA (2014)."},{"issue":"9","key":"26_CR16","first-page":"1","volume":"30","author":"Z Xin","year":"2017","unstructured":"Xin, Z., Han, J., Sun, A.: A survey of location prediction on twitter. IEEE Trans. Knowl. Data Eng. 30(9), 1\u201320 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Hecht, B., Hong, L.C., Suh, B.W., Chi, E.H.: Tweets from Justin Bieber\u2019s heart: the dynamics of the location field in user profiles. In: 2011 CHI Conference on Human Factors in Computing Systems, pp. 237\u2013246. ACM, Vancouver, Canada (2011).","DOI":"10.1145\/1978942.1978976"},{"key":"26_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/978-3-319-05810-8_33","volume-title":"Database Systems for Advanced Applications","author":"S Hosseini","year":"2014","unstructured":"Hosseini, S., Unankard, S., Zhou, X., Sadiq, S.: Location Oriented Phrase Detection in Microblogs. In: Bhowmick, S.S., Dyreson, C.E., Jensen, C.S., Lee, M.L., Muliantara, A., Thalheim, B. (eds.) DASFAA 2014. LNCS, vol. 8421, pp. 495\u2013509. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-05810-8_33"},{"key":"26_CR19","doi-asserted-by":"crossref","unstructured":"Li, C., Weng, J.S., He, Q., Yao, Y.X., Datta, A., Sun, A., et al.: Twiner: Named entity recognition in targeted twitter stream. In: 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 721\u2013730. ACM, Portland, USA (2012).","DOI":"10.1145\/2348283.2348380"},{"key":"26_CR20","unstructured":"Han, B., Cook, P., Baldwin, T.: Geolocation prediction in social media data by finding location indicative words. In: 24th International Conference on Computational Linguistics, pp. 1045\u20131062. ACM, Mumbai, India (2012)."},{"issue":"1","key":"26_CR21","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1613\/jair.4200","volume":"49","author":"B Han","year":"2014","unstructured":"Han, B., Cook, P., Baldwin, T.: Text-based twitter user geolocation prediction. Journal of Artificial Intelligence Research 49(1), 451\u2013500 (2014)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"26_CR22","unstructured":"Chi, L.H., Lim, K.H., Alam, N., Butler, C.: Geolocation prediction in twitter using location indicative words and textual features. In: 2nd Workshop on Noisy User-Generated Text, pp. 227\u2013234. COLING, Osaka, Japan (2016)."},{"key":"26_CR23","unstructured":"Tian, H.C.: Research on social network user location prediction technology, University of Information Engineering (2019)."},{"key":"26_CR24","unstructured":"Jay, M., Croft, Bruce, W.: A language modeling approach to information retrieval. In: 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 275\u2013281. ACM, Melbourne, Australia (1998)."},{"issue":"5","key":"26_CR25","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/0306-4573(88)90021-0","volume":"24","author":"G Salton","year":"1988","unstructured":"Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Inf. Process. Manage. 24(5), 513\u2013523 (1988)","journal-title":"Inf. Process. Manage."},{"key":"26_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1007\/978-3-319-60240-0_34","volume-title":"Social, Cultural, and Behavioral Modeling","author":"B Huang","year":"2017","unstructured":"Huang, B., Carley, K.M.: On Predicting Geolocation of Tweets Using Convolutional Neural Networks. In: Lee, D., Lin, Y.-R., Osgood, N., Thomson, R. (eds.) SBP-BRiMS 2017. LNCS, vol. 10354, pp. 281\u2013291. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-60240-0_34"}],"container-title":["Lecture Notes in Computer Science","Information and Communications Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86890-1_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,17]],"date-time":"2021-09-17T01:03:01Z","timestamp":1631840581000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86890-1_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030868895","9783030868901"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86890-1_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"17 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Communications Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chongqing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icics2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icics.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"182","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}