Geotemporal Querying of Social Networks and Summarization
Author:
Publisher
Springer New York
Link
http://link.springer.com/content/pdf/10.1007/978-1-4939-7131-2_110156
Reference25 articles.
1. Arcaini P, Bordogna G, Ienco D, Sterlacchini S (2016) User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks. Inf Sci 340–341:122–143
2. Bordogna G, Cuzzocrea A, Psaila G (2016) Clustering geo-tagged tweets for advanced big data analytics. In: Proceedings of 2016 I.E. fifth international congress on big data
3. Cassa CA, Chunara R, Mandl K, Brownstein JS (2013) Twitter as a sentinel in emergency situations: lessons from the Boston marathon explosions. PLOS Curr. https://doi.org/10.1371/currents.dis.ad70cd1c8bc585e9470046cde334ee4b
4. Chen M, Mao S, Liu Y (2014) Big data: a survey. Mobile Netw Appl 19:171–209
5. Cheng Z, Caverlee J, Lee K (2010) You are where you tweet: a content based approach to geo-locating Twitter users. In: Proceedings of the19th ACM international conference on Information and knowledge management, ACM, pp 759–768
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