{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:12:02Z","timestamp":1750306322948,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":25,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1145\/2872518.2891069","type":"proceedings-article","created":{"date-parts":[[2017,1,23]],"date-time":"2017-01-23T20:35:52Z","timestamp":1485203752000},"page":"873-878","source":"Crossref","is-referenced-by-count":9,"title":["What Public Transit API Logs Tell Us about Travel Flows"],"prefix":"10.1145","author":[{"given":"Pieter","family":"Colpaert","sequence":"first","affiliation":[{"name":"iMinds, Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alvin","family":"Chua","sequence":"additional","affiliation":[{"name":"KU Leuven, Leuven, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruben","family":"Verborgh","sequence":"additional","affiliation":[{"name":"iMinds, Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"Mannens","sequence":"additional","affiliation":[{"name":"Data Science Lab, Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rik","family":"Van de Walle","sequence":"additional","affiliation":[{"name":"Ghent University, Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Vande Moere","sequence":"additional","affiliation":[{"name":"KU Leuven, Leuven, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/2872518.2891069-1","doi-asserted-by":"crossref","unstructured":"G. Andrienko, N. Andrienko, and S. Wrobel. Visual analytics tools for analysis of movement data. ACM SIGKDD Explorations Newsletter, 9(2):38--46, 2007.","DOI":"10.1145\/1345448.1345455"},{"key":"key-10.1145\/2872518.2891069-2","doi-asserted-by":"crossref","unstructured":"N. Andrienko and G. Andrienko. Visual analytics of movement: An overview of methods, tools and procedures. Information Visualization, page 1473871612457601, 2012.","DOI":"10.1177\/1473871612457601"},{"key":"key-10.1145\/2872518.2891069-3","unstructured":"M. Arias, J. D. Fernández, M. A. Martínez-Prieto, and P. de la Fuente. An empirical study of real-world sparql queries. arXiv preprint arXiv:1103.5043, 2011."},{"key":"key-10.1145\/2872518.2891069-4","doi-asserted-by":"crossref","unstructured":"M. Batty, K. W. Axhausen, F. Giannotti, A. Pozdnoukhov, A. Bazzani, M. Wachowicz, G. Ouzounis, and Y. Portugali. Smart cities of the future. The European Physical Journal Special Topics, 214(1):481--518, 2012.","DOI":"10.1140\/epjst\/e2012-01703-3"},{"key":"key-10.1145\/2872518.2891069-5","doi-asserted-by":"crossref","unstructured":"R. Beecham, J. Wood, and A. Bowerman. Studying commuting behaviours using collaborative visual analytics. Computers, Environment and Urban Systems, 47:5--15, 2014.","DOI":"10.1016\/j.compenvurbsys.2013.10.007"},{"key":"key-10.1145\/2872518.2891069-6","unstructured":"W. Christaller. Central places in southern Germany. Prentice-Hall, 1966."},{"key":"key-10.1145\/2872518.2891069-7","doi-asserted-by":"crossref","unstructured":"A. Chua, E. Marcheggiani, L. Servillo, and A. Vande Moere. Flowsampler: Visual analysis of urban flows in geolocated social media data. In Social Informatics, pages 5--17. Springer, 2014.","DOI":"10.1007\/978-3-319-15168-7_2"},{"key":"key-10.1145\/2872518.2891069-8","unstructured":"P. Colpaert, A. Llaves, R. Verborgh, O. Corcho, E. Mannens, and R. Van de Walle. Intermodal public transit routing using Linked Connections. In Proceedings of the 14th International Semantic Web Conference: Posters and Demos, Oct. 2015."},{"key":"key-10.1145\/2872518.2891069-9","unstructured":"N. Ferreira, J. Poco, H. T. Vo, J. Freire, and C. T. Silva. Visual exploration of big spatio-temporal urban data: A study of new york city taxi trips. Visualization and Computer Graphics, IEEE Transactions on, 19(12):2149--2158, 2013."},{"key":"key-10.1145\/2872518.2891069-10","unstructured":"R. T. Fielding. Architectural styles and the design of network-based software architectures. PhD thesis, University of California, Irvine, 2000."},{"key":"key-10.1145\/2872518.2891069-11","doi-asserted-by":"crossref","unstructured":"D. Holten, P. Isenberg, J. J. Van Wijk, and J.-D. Fekete. An extended evaluation of the readability of tapered, animated, and textured directed-edge representations in node-link graphs. In Pacific Visualization Symposium (PacificVis), 2011 IEEE, pages 195--202. IEEE, 2011.","DOI":"10.1109\/PACIFICVIS.2011.5742390"},{"key":"key-10.1145\/2872518.2891069-12","doi-asserted-by":"crossref","unstructured":"C. Hurter, O. Ersoy, S. I. Fabrikant, T. R. Klein, and A. C. Telea. Bundled Visualization of DynamicGraph and Trail Data. Visualization and Computer Graphics, IEEE Transactions on, 20(8):1141--1157, 2014.","DOI":"10.1109\/TVCG.2013.246"},{"key":"key-10.1145\/2872518.2891069-13","doi-asserted-by":"crossref","unstructured":"R. Kitchin. The real-time city? big data and smart urbanism. GeoJournal, 79(1):1--14, 2014.","DOI":"10.1007\/s10708-013-9516-8"},{"key":"key-10.1145\/2872518.2891069-14","doi-asserted-by":"crossref","unstructured":"M.-J. Kraak. Exploratory visualization. In Encyclopedia of GIS, pages 301--307. Springer, 2008.","DOI":"10.1007\/978-0-387-35973-1_397"},{"key":"key-10.1145\/2872518.2891069-15","doi-asserted-by":"crossref","unstructured":"M. Krzywinski, J. Schein, I. Birol, J. Connors, R. Gascoyne, D. Horsman, S. J. Jones, and M. A. Marra. Circos: an information aesthetic for comparative genomics. Genome research, 19(9):1639--1645, 2009.","DOI":"10.1101\/gr.092759.109"},{"key":"key-10.1145\/2872518.2891069-16","unstructured":"D. Phan, L. Xiao, R. Yeh, P. Hanrahan, and T. Winograd. Flow map layout. 2005."},{"key":"key-10.1145\/2872518.2891069-17","doi-asserted-by":"crossref","unstructured":"A. C. Robinson. Collaborative synthesis of visual analytic results. In Visual Analytics Science and Technology, 2008. VAST'08. IEEE Symposium on, pages 67--74. IEEE, 2008.","DOI":"10.1109\/VAST.2008.4677358"},{"key":"key-10.1145\/2872518.2891069-18","doi-asserted-by":"crossref","unstructured":"C. Roth, S. M. Kang, M. Batty, and M. Barthélemy. Structure of urban movements: polycentric activity and entangled hierarchical flows. PloS one, 6(1):e15923, 2011.","DOI":"10.1371\/journal.pone.0015923"},{"key":"key-10.1145\/2872518.2891069-19","unstructured":"L. Servillo, R. Atkinson, I. Smith, A. Russo, L. Sỳkora, C. Demazière, and A. Hamdouche. Town: Small and medium sized towns in their functional territorial context, 2013."},{"key":"key-10.1145\/2872518.2891069-20","unstructured":"A. Sevtsuk and C. Ratti. Does urban mobility have a daily routine? explorations using aggregate mobile network data. In Proceedings of the 11th International Conference on Computers in Urban Planning and Urban Management, 2009."},{"key":"key-10.1145\/2872518.2891069-21","doi-asserted-by":"crossref","unstructured":"F. Silvestri. Mining query logs: Turning search usage data into knowledge. Foundations and Trends in Information Retrieval, 4(1-2):1--174, 2010.","DOI":"10.1561\/1500000013"},{"key":"key-10.1145\/2872518.2891069-22","doi-asserted-by":"crossref","unstructured":"J. J. Thomas, K. Cook, et al. A visual analytics agenda. Computer Graphics and Applications, IEEE, 26(1):10--13, 2006.","DOI":"10.1109\/MCG.2006.5"},{"key":"key-10.1145\/2872518.2891069-23","unstructured":"R. Verborgh. The lonesome LOD cloud. In Proceedings of the 4th USEWOD Workshop on Usage Analysis and the Web of Data, 2014."},{"key":"key-10.1145\/2872518.2891069-24","doi-asserted-by":"crossref","unstructured":"R. Verborgh. DBpedia's Triple Pattern Fragments: Usage patterns and insights. In F. Gandon, C. Guéret, S. Villata, J. Breslin, C. Faron-Zucker, and A. Zimmermann, editors, The Semantic Web: ESWC 2015 Satellite Events, volume 9341 of Lecture Notes in Computer Science, pages 431--442. Springer, June 2015.","DOI":"10.1007\/978-3-319-25639-9_54"},{"key":"key-10.1145\/2872518.2891069-25","unstructured":"R. Verborgh, M. Vander Sande, P. Colpaert, S. Coppens, E. Mannens, and R. Van de Walle. Web-scale querying through Linked Data Fragments. In Proceedings of the 7th Workshop on Linked Data on the Web, Apr. 2014."}],"event":{"number":"25","sponsor":["SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web","IW3C2, International World Wide Web Conference Committee"],"acronym":"WWW '16 Companion","name":"the 25th International Conference Companion","start":{"date-parts":[[2016,4,11]]},"location":"Montréal, Québec, Canada","end":{"date-parts":[[2016,4,15]]}},"container-title":["Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2872518.2891069","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=2891069&ftid=1707923&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:54:23Z","timestamp":1750222463000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=2872518.2891069"}},"subtitle":[],"proceedings-subject":"World Wide Web","short-title":[],"issued":{"date-parts":[[2016]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1145\/2872518.2891069","relation":{},"subject":[],"published":{"date-parts":[[2016]]}}}