{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:50:40Z","timestamp":1742939440556,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030172459"},{"type":"electronic","value":"9783030172466"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-17246-6_2","type":"book-chapter","created":{"date-parts":[[2019,5,6]],"date-time":"2019-05-06T16:26:15Z","timestamp":1557159975000},"page":"13-27","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["City Link: Finding Similar Areas in Two Cities Using Twitter Data"],"prefix":"10.1007","author":[{"given":"Wannita","family":"Takerngsaksiri","sequence":"first","affiliation":[]},{"given":"Shoko","family":"Wakamiya","sequence":"additional","affiliation":[]},{"given":"Eiji","family":"Aramaki","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,4,10]]},"reference":[{"key":"2_CR1","volume-title":"The Image of the City","author":"K Lynch","year":"1960","unstructured":"Lynch, K.: The Image of the City. MIT Press, Cambridge (1960)"},{"key":"2_CR2","unstructured":"Nold, C.: Greenwich Emotion Map. https:\/\/2.zoppoz.workers.dev:443\/http\/www.emotionmap.net\/ (2005)"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Quercia, D., Schifanella, R., Aiello, L.M.: The shortest path to happiness: recommending beautiful, quiet, and happy routes in the city. In: Proceedings of Conference on Hypertext and Social Media (HyperText) (2014)","DOI":"10.1145\/2631775.2631799"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Quercia, D., Schifanella, R., Aiello, L.M., McLean, K.: Smelly maps: the digital life of urban smellscapes. In: Proceedings of the Ninth International AAAI Conference on Web and Social Media, pp. 327\u2013336 (2015)","DOI":"10.1609\/icwsm.v9i1.14621"},{"issue":"3","key":"2_CR5","first-page":"1","volume":"3","author":"LM Aiello","year":"2016","unstructured":"Aiello, L.M., Schifanella, R., Quercia, D., Aletta, F.: Chatty maps: constructing sound maps of urban areas from social media data. Roy. Soc. Open Sci. 3(3), 1\u201319 (2016)","journal-title":"Roy. Soc. Open Sci."},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Culotta, A.: Towards detecting influenza epidemics by analyzing Twitter messages. In: Proceedings of the First Workshop on Social Media Analytics, pp. 115\u2013122 (2010)","DOI":"10.1145\/1964858.1964874"},{"key":"2_CR7","doi-asserted-by":"publisher","unstructured":"Amador Diaz Lopez, J., Collignon-Delmar, S., Benoit, K., et al.: Predicting the Brexit vote by tracking and classifying public opinion using Twitter data. Stat. Polit. Policy 8(1), 85\u2013104 (2017). Accessed 24 Aug 2018. https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1515\/spp-2017-0006","DOI":"10.1515\/spp-2017-0006"},{"key":"2_CR8","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.dss.2014.02.003","volume":"61","author":"MS Gerber","year":"2014","unstructured":"Gerber, M.S.: Predicting crime using Twitter and Kernel density estimation. Decis. Support Syst. 61, 115\u2013125 (2014). https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.dss.2014.02.003","journal-title":"Decis. Support Syst."},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with Twitter: what 140 characters reveal about political sentiment. In: International AAAI Conference on Weblogs and Social Media, Washington, DC (2010)","DOI":"10.1609\/icwsm.v4i1.14009"},{"key":"2_CR10","first-page":"1","volume":"9","author":"S Hahmann","year":"2014","unstructured":"Hahmann, S., Purves, R., Burghardt, D.: Twitter location (sometimes) matters: exploring the relationship between georeferenced tweet content and nearby feature classes. J. Spat. Inf. Sci. Number 9, 1\u201336 (2014)","journal-title":"J. Spat. Inf. Sci. Number"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Preotiuc-Pietro, D., Cranshaw, J., Yano, T.: Exploring venue-based city-to-city similarity measures. In: Proceedings of the Second ACM SIGKDD International Workshop on Urban Computing, Article No. 16 (2013)","DOI":"10.1145\/2505821.2505832"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Kato, M.P., Hiroaki, O., Oyama, S., Tanaka, K.: Search as if you were in your home town: geographic search by regional context and dynamic feature-space selection. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 1541\u20131544 (2010)","DOI":"10.1145\/1871437.1871667"},{"key":"2_CR13","unstructured":"Seth, R., Covell, M., Ravichandran, D., Sivakumar, D., Baluja, S.: A tale of two (similar) cities: inferring city similarity through geo-spatial query log analysis. In: Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (2011)"}],"container-title":["Lecture Notes in Computer Science","Web and Wireless Geographical Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-17246-6_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:53:34Z","timestamp":1710251614000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/10.1007\/978-3-030-17246-6_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030172459","9783030172466"],"references-count":13,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/978-3-030-17246-6_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"10 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"W2GIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Web and Wireless Geographical Information Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 May 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"w2gis2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2.zoppoz.workers.dev:443\/http\/w2gis2019.web.nitech.ac.jp\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"37","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":"10","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":"1","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":"3","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":"n\/a","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)"}},{"value":"Also included: 3 Work-in-Progress Papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}