Glossary
- Querying social networks:
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Submitting requests of information to social networks’ API to retrieve posts about topics of interest
- Spatiotemporal clustering of posts in social networks:
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Unsupervised identification of groups of posts having similar geographic and temporal metadata retrieved from social networks
- Events detection in social networks:
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Identifying a consistent number of posts from social networks sent by close geographic locations and in close time intervals describing something known or unpredicted that happened in a specific place and in a specific time interval
Definition
Social network querying means submitting requests for information to a social network API in order to retrieve posts satisfying some user needs expressed in the query.
Geotemporal summarizationof the retrieved posts is aimed at...
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References
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
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
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
Chen M, Mao S, Liu Y (2014) Big data: a survey. Mobile Netw Appl 19:171–209
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
Cheng T, Wicks T (2014) Event detection using Twitter: a spatio-temporal approach. PLoS One 9(6):e97807
Frias-Martinez V, Soto V, Hohwald H, Frias-Martinez E (2012) Characterizing urban landscapes using geolocated tweets. In: Privacy, security, risk and trust (PASSSAT). International conference on social computing (SocialCom), IEEE, Amsterdam, pp 239–248
Ghosh D, Guha R (2013) What are we ‘tweeting’ about obesity? Mapping tweets with topic modeling and geographic information system. Cartogr Geogr Inf Sci 40(2):90–102
Hua T, Zhao L, Chen F, Tien Lu C (2016a) How events unfold: spatiotemporal mining in social media. ACM SIGSPATIAL Special 7(3):19–25. https://doi.org/10.1145/2876480.2876485
Hua T, Yue N, Chen F, Lu CT, Ramakrishnan N (2016b) Topical analysis of interactions between news and social media. In: Proceedings of the 30th AAAI conference on artificial intelligence
MacQueen JB (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley symposium on mathematical statistics and probability, University of California Press, pp 281–297
Murphy T (2013) Can Twitter help aid workers in a disaster? Retrieved from http://www.humanosphere.org/basics/2013/07/can-twitter-help-aid-workers-in-a-disaster/
Produit T, Tuia D, Lepetit V, Golay F (2014) Pose estimation of web-shared landscape pictures. ISPRS Ann Photogramm Remote Sens Spatial Inf Sci II-3:127–134
Rout D, Bontcheva K, Preotiuc-Pietro D, and Cohn T. (2013) Where’s@wally?: a classification approach to geolocating users based on their socialties. In: Hyper text and social media 2013, pp 11–20
Rui Li, Kin Hou Lei, Ravi Khadiwala, Kevin Chen-Chuan Chang (2012). Tedas: a twitter-based event detection and analysis system. In: Proceedings of the 28th international conference on, pp 1273–1276
Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes Twitter users: real-time event detection by social sensors, earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on world wide web, WWW’10, pp 851–860, New York, ACM
Stefanidis A, Crooks A, Radzikowski J (2013) Harvesting ambient geospatial information from social media feeds. GeoJournal 78(2):319–338
Taylor PJ, Derudder B, Hoyler M, Ni P (2012) New regional geographies of the world as practised by leading advanced producer service firms in 2010. https://doi.org/10.1111/j.1475-5661.2012.00545.x. ISSN 0020–2754, Transactions of the Institute of British Geographers 2012 Royal Geographical Society (with the Institute of British Geographers)
Thom D, Bosch H, Koch S, Woerner M, Ertl T (2012) Spatio temporal anomaly detection through visual analysis of geolocated Twitter messages. In: Visualization symposium (PacificVis) IEEE Pacific, Songdo, pp 41–48
Tufekci Z, Wilson C (2012) Social media and the decision to participate in political protest: observations from Tahrir Square. J Commun 62:363–379
Wakamiya S, Lee R, Sumiya K (2011) Urban area characterization based on semantics of crowd activities in Twitter. In: Proceedings of the 4th international conference on GeoSpatial Semantics, Springer-Verlag, pp 108–123
Wang X, Gerber MS, Brown DE (2012) Automatic crime prediction using events extracted from Twitter posts. In: Social computing, behavioral-cultural modeling and prediction, Springer, pp 231–238
Watanabe K, Ochi M, Okabe M, Onai R (2011) Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs. In: Proceedings of the 20th ACM international conference on information and knowledge management, CIKM’11, pp 2541–2544
Wickre K (2013). Celebrating #Twitter7. Retrieved from https://blog.twitter.com/2013/celebrating-twitter7
Zhao L, Sun Q, Ye J, Chen F, Lu Chang-Tien, Ramakrishnan N (2015) Multi-task learning for spatio-temporal event forecasting. In: Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp 1503–1512
Acknowledgments
The work was partially supported by Charles University research fund PROGRES and the FHfFC project funded jointly by CNR and Regione Lombardia CUP B42F16000470005.
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Arcaini, P., Bordogna, G. (2018). Geotemporal Querying of Social Networks and Summarization. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_110156
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