Do people communicate about their whereabouts? Investigating the relation between user-generated text messages and Foursquare check-in places

References

• Abbasi, A., T. H. Rashidi, M. Maghrebi., and S. T. Waller. 2015. “Utilising Location Based Social Media in Travel Survey Methods: Bringing Twitter Data into the Play.” In Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks. Bellevue, WA, USA, November 03–06. doi:10.1145/2830657.2830660.
   Google Scholar
• Abidin, A. F., M. Kolberg, and A. Hussain. 2015. “Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle Arrival Time Prediction.” In Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications, edited by M. Trovati, R. Hill, A. Anjum, S. Y. Zhu, and L. Liu, 67–82. Cham: Springer International Publishing. doi:10.1007/978-3-319-25313-8_5.
   Google Scholar
• Brandon Gaille. 2015. 26 Great Foursquare Demographics. Accessed September 1, 2015. http://brandongaille.com/26-great-foursquare-demographics/.
   Google Scholar
• Burton, H. S., W. K. Tanner, G. C. Giraud-Carrier, H. J. West, and D. M. Barnes. 2012. “‘Right Time, Right Place’ Health Communication on Twitter: Value and Accuracy of Location Information.” Journal of Medical Internet Research 14 (6): 86–96. doi:10.2196/jmir.2121.
   Web of Science ®Google Scholar
• Chen, L., and A. Roy. 2009. “Event Detection from Flickr Data through Wavelet-Based Spatial Analysis.” In Proceedings of the 18th ACM Conference on Information and Knowledge Management, 523–532. Hong Kong, November 02–06. doi: 10.1145/1645953.1646021.
   Google Scholar
• Cho, E., S. A. Myers, and J. Leskovec. 2011. “Friendship and Mobility: User Movement in Location-Based Social Networks.” In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining − KDD’11, 1082–1090). San Diego, California, USA, August 21–24. doi:10.1145/2020408.2020579.
   Google Scholar
• Cramer, H., M. Rost, and L. E. Holmquist. 2011. “Performing a Check-in: Emerging Practices, Norms and ‘Conflicts’ in Location-Sharing Using Foursquare.” In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services − MobileHCI’11, 57–66. New York, USA: ACM Press. doi:10.1145/2037373.2037384.
   Google Scholar
• de Albuquerque, J. P., B. Herfort, A. Brenning, and A. Zipf. 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): 667–689. doi:10.1080/13658816.2014.996567.
   Web of Science ®Google Scholar
• Deerwester, S., S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman. 1990. “Indexing by Latent Semantic Analysis.” Journal of the American Society for Information Science 41 (6): 17. doi:10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9.
   Google Scholar
• Gong, Y., and X. Liu. 2001. “Generic Text Summarization Using Relevance Measure and Latent Semantic Analysis.” Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 19–25. New Orleans, Louisiana, USA, September 9–13. doi:10.1145/383952.383955.
   Google Scholar
• Gupta, M., R. Li, and K.-C.-C. Chang. 2014. “Towards a Social Media Analytics Platform.” In Proceedings of the 23rd International Conference on World Wide Web − WWW’14 Companion, 193–194. Seoul, Korea, April 07–11. doi:10.1145/2567948.2577264.
   Google Scholar
• Hiruta, S., T. Yonezawa, M. Jurmu, and H. Tokuda. 2012. “Detection, Classification and Visualization of Place-Triggered Geotagged Tweets.” Proceedings of the 2012 ACM Conference on Ubiquitous Computing. Pittsburgh, Pennsylvania, September 05–08. doi:10.1145/2370216.2370427.
   Google Scholar
• Kim, H. G., S. Lee, and S. Kyeong. 2013. “Discovering Hot Topics Using Twitter Streaming Data Social Topic Detection and Geographic Clustering.” Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), 1215–1220. Niagara, Ontario, Canada, August 25–28 doi:10.1109/ASONAM.2013.6785858.
   Google Scholar
• Kongthon, A., C. Haruechaiyasak, J. Pailai, and S. Kongyoung. 2012. “The Role of Twitter during a Natural Disaster: Case Study of 2011 Thai Flood.” Technology Management for Emerging Technologies 23 (8): 2227–2232.
   Google Scholar
• Lee, K., A. Agrawal, and A. Choudhary. 2013. “Real-Time Disease Surveillance Using Twitter Data: Demonstration on Flu and Cancer.” Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Chicago, August 11–14. doi:10.1145/2487575.2487709.
   Google Scholar
• Li, M., G. Sagl, L. Mburu, and H. Fan. 2016. “A Contextualized and Personalized Model to Predict User Interest Using Location-Based Social Networks.” Computers, Environment and Urban Systems 58: 97–106. doi:10.1016/j.compenvurbsys.2016.03.006.
   Web of Science ®Google Scholar
• Maas, A. L., R. E. Daly, P. T. Pham, D. Huang, A. Y. Ng, and C. Potts. 2011. “Learning Word Vectors for Sentiment Analysis.” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 1. Portland, Oregon, June 19–24.
   Google Scholar
• Mocnik, F.-B., A. Zipf, and H. Fan. 2017. “The Inevitability of Calibration in VGI Quality Assessment.” Proceedings of the 4th Workshop on Volunteered Geographic Information: Integration, Analysis, and Applications (VGI-Analytics), AGILE 2017. Wageningen, May 09.
   Google Scholar
• Mocnik, F.-B., A. Zipf, and M. Raifer. 2017. “The OpenStreetMap Folksonomy and Its Evolution.” Geo-spatial Information Science 20 (3): 219–230. doi:10.1080/10095020.2017.1368193.
   Web of Science ®Google Scholar
• Mostafa, M. M. 2013. “More than Words: Social Networks’ Text Mining for Consumer Brand Sentiments.” Expert Systems with Applications 40 (10): 4241–4251. doi:10.1016/j.eswa.2013.01.019.
   Web of Science ®Google Scholar
• Noulas, A., C. Mascolo, and E. Frias-Martinez. 2013. “Exploiting Foursquare and Cellular Data to Infer User Activity in Urban Environments.” In Proceedings of the 14th International Conference on Mobile Data Management (IEEE) 1: 167–176. doi:10.1109/MDM.2013.27.
   Google Scholar
• Noulas, A., S. Scellato, N. Lathia, and C. Mascolo. 2012a. “A Random Walk around the City: New Venue Recommendation in Location-Based Social Networks.” In Proceedings of the 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing, 144–153. Amsterdam, Netherlands: (IEEE). September 03–05. doi:10.1109/SocialCom-PASSAT.2012.70.
   Google Scholar
• Noulas, A., S. Scellato, N. Lathia, and C. Mascolo. 2012b. “Mining User Mobility Features for Next Place Prediction in Location-Based Services.” In Proceedings of the 2012 IEEE 12th International Conference on Data Mining, 1038–1043. Brussels, Belgium, December 10–13. doi:10.1109/ICDM.2012.113.
   Google Scholar
• Sebastiani, F. 2002. “Machine Learning in Automated Text Categorization.” ACM Computing Surveys 34 (1): 1–47. doi:10.1145/505282.505283.
   Web of Science ®Google Scholar
• Sengstock, C., and M. Gertz. 2012. “Latent Geographic Feature Extraction from Social Media.” In Proceedings of the 20th International Conference on Advances in Geographic Information Systems, Redondo Beach, California, November 06–09. doi:10.1145/2424321.2424342
   Google Scholar
• Shannon, C. E. 1948. “A Mathematical Theory of Communication.” The Bell System Technical Journal 27 (3): 379–423. doi:10.1002/j.1538-7305.1948.tb01338.x.
   Google Scholar
• Steiger, E., R. Westerholt, B. Resch, and A. Zipf. 2015. “Twitter As an Indicator for Whereabouts of People? Correlating Twitter with UK Census Data.” Computers, Environment and Urban Systems 54: 255–265. doi:10.1016/j.compenvurbsys.2015.09.007.
   Web of Science ®Google Scholar
• Tang, L., and H. Liu. 2010. “Community Detection and Mining in Social Media.” Synthesis Lectures on Data Mining and Knowledge Discovery 2 (1): 1–137. doi:10.2200/S00298ED1V01Y201009DMK003.
   Google Scholar
• Vasconcelos, M. A., S. Ricci, J. Almeida, F. Benevenuto, and V. Almeida. 2012. “Tips, Dones and Todos: Uncovering User Profiles in Foursquare.” In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, Seattle, Washington, USA, February 08–12. doi:10.1145/2124295.2124372.
   Google Scholar
• Wang, D., D. Pedreschi, C. Song, F. Giannotti, and A.-L. Barabasi. 2011. “Human Mobility, Social Ties, and Link Prediction.” In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining − KDD’11, San Diego, California, USA, August 21–24. doi:10.1145/2020408.2020581.
   Google Scholar
• Wang, L., and Y. Wan. 2011. “Sentiment Classification of Documents Based on Latent Semantic Analysis.” In Advanced Research on Computer Education, Simulation and Modeling, Eds. S. Lin and X. Huang. Berlin, Heidelberg: Springer-Verlag. doi:10.1007/978-3-642-21802-6_57.
   Google Scholar
• Ye, M., P. Yin, and W.-C. Lee. 2010. “Location Recommendation for Location-Based Social Networks.” In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, San Jose, California, November 02–05. doi:10.1145/1869790.1869861.
   Google Scholar