The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
#Earthquake: Twitter as a Distributed Sensor System
Abstract
Social media feeds are rapidly emerging as a novel avenue for the contribution and dissemination of information that is often geographic. Their content often includes references to events occurring at, or affecting specific locations. Within this article we analyze the spatial and temporal characteristics of the twitter feed activity responding to a 5.8 magnitude earthquake which occurred on the E ast C oast of the U nited S tates (US) on A ugust 23, 2011. We argue that these feeds represent a hybrid form of a sensor system that allows for the identification and localization of the impact area of the event. By contrasting this with comparable content collected through the dedicated crowdsourcing ‘Did You Feel It?’ (DYFI) website of the U.S. Geological Survey we assess the potential of the use of harvested social media content for event monitoring. The experiments support the notion that people act as sensors to give us comparable results in a timely manner, and can complement other sources of data to enhance our situational awareness and improve our understanding and response to such events.
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Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Wireless sensor networks: a survey
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002) · Computer Networks · doi:10.1016/s1389-1286(01)00302-4 · Cited by 17,418
Citizens as sensors: the world of volunteered geography
Goodchild, M. F. (2007) · GeoJournal · doi:10.1007/s10708-007-9111-y · Cited by 4,522
Detecting influenza epidemics using search engine query data
Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295
Earthquake shakes Twitter users: real-time event detection by social sensors
Sakaki, T., Okazaki, M., & Matsuo, Y. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772777 · Cited by 3,640
Raymond, E. (1999) · Knowledge, Technology & Policy · doi:10.1007/s12130-999-1026-0 · Cited by 2,915
The cathedral and the bazaar: musings on Linux and open source by an accidental revolutionary
(2002) · Choice Reviews Online · doi:10.5860/choice.39-2841 · Cited by 2,251
(2008) · Cited by 1,657
Kosala, R., & Blockeel, H. (2000) · ACM SIGKDD Explorations Newsletter · doi:10.1145/360402.360406 · Cited by 1,438
Vieweg, S., Hughes, A. L., Starbird, K., & Palen, L. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753486 · Cited by 1,427
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Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., et al. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.10.012 · Cited by 749
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Chen, Q., Wang, W., Wu, F., De, S., Wang, R., Zhang, B., & Huang, X. (2019) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2019.2907718 · Cited by 167
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Metadata
- Authors
- Crooks, A., Croitoru, A., Stefanidis, A., & Radzikowski, J.
- Venue
- Transactions in GIS
- Publisher
- Wiley
- Published
- 2012-10-09
- Volume
- 17
- Issue
- 1
- Pages
- 124-147
- ISSN
- 1361-1682 (ISSN-L)
- 1467-9671
- OpenAlex
- W2118480788
- Cited by
- 469
- References
- 45
- FWCI
- 175.71
- Type
- journal article
- Language
- en
- Open access
- closed
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