Building a Location-Based Set of Social Media Users
References
- (2008) Mixed membership stochastic block models. J. Machine Learn. Res. 9:1981–2014.Google Scholar
- (2010) Find me if you can: Improving geographical prediction with social and spatial proximity. Proc. 19th Internat. Conf. World Wide Web (ACM, New York), 61–70.Google Scholar
- (2018) Twitter geolocation: A hybrid approach. ACM Trans. Knowl. Discov. Data 12(3):1–17.Crossref, Google Scholar
- (2012) Geolocation prediction in social media data by finding location indicative words. Proc. COLING, 1045–1062.Google Scholar
- (2001) Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Machine Intelligence 23(11):1222–1239.Crossref, Google Scholar
- (2015) Twitter geolocation and regional classification via sparse coding. Proc. Internat. AAAI Conf. Web and Social Media (Association for the Advancement of Artificial Intelligence), 582–585.Google Scholar
- (2014) Geotagging one hundred million twitter accounts with total variation minimization. IEEE Internat. Conf. Big Data (IEEE), 393–401.Google Scholar
- (2011) Inferring the location of Twitter messages based on user relationships. Trans. GIS, 15(6):735–751.Crossref, Google Scholar
- (2012) Unsupervised spatial, temporal, and relational models for social processes. Doctoral dissertation, Carnegie Mellon University, Pittsburgh.Google Scholar
- (2017) Multiview deep learning for predicting Twitter users’ location. Preprint, submitted December 17, https://arxiv.org/abs/1712.08091.Google Scholar
- (2010) A latent variable model for geographic lexical variation. Proc. 2010 Conf. Empirical Methods Natl. Language Processing (Association for Computational Linguistics, Stroudsburg, PA), 1277–1287.Google Scholar
- (2017) Small Brazil city on edge after man dies from yellow fever. U.S. News Online (March 18), https://www.usnews.com/news/news/articles/2017-03-18/small-brazil-city-on-edge-after-man-dies-from-yellow-fever.Google Scholar
- (2011) Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intelligent Systems 26(3):10–14.Crossref, Google Scholar
- (2009) Predicting tie strength with social media. Proc. SIGCHI Conf. Human Factors Comput. Systems (ACM, New York), 211–220.Google Scholar
- Google.com (2017) Google Maps. Accessed October 1, 2014, maps.google.com.Google Scholar
- (2013) A stacking-based approach to Twitter user geolocation prediction. Proc. 51st Annual Meeting Assoc. Comput. Linguistics: System Demonstrations, 7–12.Google Scholar
- (2019) TF-MF: Improving multiview representation for Twitter user geolocation prediction. Proc. 2019 IEEE/ACM Internat. Conf. Adv. Soc. Networks Anal. Min. (IEEE, New York; ACM, New York), 543–545.Google Scholar
- (2011) Tweets from Justin Bieber’s heart: The dynamics of the location field in user profiles. Proc. SIGCHI Conf. Human Factors Comput. Systems (ACM, New York), 237–246.Google Scholar
- (2013) That’s what friends are for: Inferring location in online social media platforms based on social relationships. Proc. Internat. AAAI Conf. Web Soc. Media, vol. 13, 273–282.Google Scholar
- (2004) What energy functions can be minimized via graph cuts? IEEE Trans. Pattern Anal. Machine Intelligence 26(2):147–159.Crossref, Google Scholar
- (2014) Spot: Locating social media users based on social network context. Proc. VLDB Endowment. 7(13):1681–1684.Crossref, Google Scholar
- (2013) Whom should I follow? Identifying relevant users during crises. Proc. 24th ACM Conf. on Hypertext and Social Media (ACM, New York), 139–147.Google Scholar
- (2015) Estimating user location in social media with stacked denoising auto-encoders. Proc. 1st Workshop Vector Space Model. Nat. Lang. Process. (Association for Computational Linguistics, Stroudsburg, PA), 201–210.Crossref, Google Scholar
- (2017) Bigger than Bieber? K-pop group BTS beats US stars to win Billboard Music Award. CNN Online (May 22), http://www.cnn.com/2017/05/22/entertainment/k-pop-bts-billboard-music-awards/index.html.Google Scholar
- (2017) Text-based geolocation prediction of social media users with neural networks. Proc. 2017 IEEE Internat. Conf. Big Data (Big Data) (IEEE, New York), 696–705.Google Scholar
- (2017) Marawi crisis: What we know—and don’t know—so far. The Philippine Star Online (May 29), http://www.philstar.com/headlines/2017/05/29/1703153/marawi-crisis-what-we-know-and-dont-know-so-far.Google Scholar
- MaxMind.com (2017) World cities database. http://www.maxmind.com/.Google Scholar
- (2013) Location prediction in social media based on tie strength. Proc. 22nd ACM Internat. Conf. Inform. Knowledge Management (ACM, New York), 459–468.Google Scholar
- (2011) Integrating social media into emergency-preparedness efforts. New England J. Medicine 365(4):289–291.Crossref, Google Scholar
- (2015) Identifying firsthand accounts of emergencies from social media. Proc. 2015 IEEE Internat. Sympos. Tech. Homeland Security (HST) (IEEE, New York), 1–6.Crossref, Google Scholar
- (2011) Scikit-learn: Machine learning in Python. J. Machine Learn. Res. 12(85):2825–2830.Google Scholar
- (2017) A neural model for user geolocation and lexical dialectology. Preprint, submitted April 13, https://arxiv.org/abs/1704.04008.Google Scholar
- (2018) Semi-supervised user geolocation via graph convolutional networks. Preprint, submitted April 22, https://arxiv.org/abs/1804.08049.Google Scholar
- (2013) Where’s @wally?: A classification approach to geolocating users based on their social ties. Proc. 24th ACM Conf. Hypertext Soc. Media (ACM, New York), 11–20.Google Scholar
- (2012) Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions. Proc. 9th Internat. Conf. Inf. Systems Crisis Response Management.Google Scholar
- (2008) Backchannels on the front lines: Emergency uses of social media in the 2007 Southern California wildfires. Proc. 5th Internat. ISCRAM Conf. (Washington, DC).Google Scholar
- Twitter. (2016a) Twitter GET search/tweets endpoint, REST API. https://dev.twitter.com/rest/reference/get/search/tweets.Google Scholar
- Twitter. (2016b) Twitter GET users/search endpoint, REST API. https://dev.twitter.com/rest/reference/get/users/search.Google Scholar
- Twitter. (2016c) Twitter REST API. https://dev.twitter.com/rest/public.Google Scholar
- (2020) Geolocation using GAT with multiview learning. Proc. 2020 IEEE Internat. Conf. Smart Data Services (SMDS) (IEEE, New York), 81–88.Crossref, Google Scholar
- (2011) Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake. Internat. J. Inform. Management 31(1):6–13.Crossref, Google Scholar
- (2012) Using social media to enhance emergency situation awareness. IEEE Intelligent Systems 27(6):52–59.Crossref, Google Scholar
- (2004) Spatially coherent clustering using graph cuts. Proc. 2004 IEEE Comput. Soc. Conf. Comput. Vision Pattern Recognition, vol. 2 (IEEE).Google Scholar
- (2020) Multiple-aspect attentional graph neural networks for online social network user localization. IEEE Access 8:95223–95234.Crossref, Google Scholar

