Mapping auroral activity with Twitter

Geophysical Research Letters

Volumn 42, Issue 10, 2015, Pages 3668-3672

  Case, N A ^a,b   Macdonald, E A ^a,b   Heavner, M ^a,c   Tapia, A H ^d   Lalone, N ^d  

^a NEW MEXICO CONSORTIUM   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c LOS ALAMOS NATIONAL LABORATORY   (United States)

^d PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

aurora; citizen science; mapping; Twitter

Indexed keywords

GEOMAGNETISM; MAPPING;

AURORA; AURORAL ACTIVITIES; CITIZEN SCIENCE; GEOMAGNETIC DISTURBANCE; LARGE SCALE EVENTS; PUBLICLY ACCESSIBLE; SOCIAL MEDIA SERVICES; TWITTER;

SOCIAL NETWORKING (ONLINE);

ACCURACY ASSESSMENT; ATMOSPHERIC ELECTRICITY; AURORA; CORRECTION; GEOMAGNETIC FIELD; MEDIA INDUSTRY; REAL TIME;

EID: 84931569476     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2015GL063709     Document Type: Article

References (25)

1. Akasofu, S.-I., (1981), Energy coupling between the solar wind and the magnetosphere, Space Sci. Rev., 28 (2), 121-190.
2. Akasofu, S.-I., and, S. Chapman, (1962), A large change in the distribution of the auroras during the 11 February 1958 magnetic storm, J. Atmos. Terr. Phys., 24 (8), 740-742.
3. Bartels, J., N. H. Heck, and, H. F. Johnston, (1939), The three-hour-range index measuring geomagnetic activity, Terr. Magn. Atmos. Electr., 44 (4), 411-454, doi: 10.1029/TE044i004p00411.
4. Carbary, J. F., (2005), A Kp-based model of auroral boundaries, Space Weather, 3, S10001, doi: 10.1029/2005SW000162.
5. Culotta, A., (2010), Detecting influenza outbreaks by analyzing Twitter messages. CoRR, arXiv:1007.4748.
6. Crooks, A., A. Croitoru, A. Stefanidis, and, J. Radzikowski, (2013), # Earthquake: Twitter as a distributed sensor system, Trans. GIS, 17 (1), 124-147.
7. Davis, T. N., and, M. Sugiura, (1996), Auroral electrojet activity index AE and its universal time variations, J. Geophys. Res., 71, 785-801, doi: 10.1029/JZ071i003p00785.
8. Denton, M. H., J. E. Borovsky, R. M. Skoug, M. F. Thomsen, B. Lavraud, M. G. Henderson, R. L. McPherron, J. C. Zhang, and, M. W. Liemohn, (2006), Geomagnetic storms driven by ICME- and CIR-dominated solar wind, J. Geophys. Res., 111, A07S07, doi: 10.1029/2005JA011436.
9. Earle, P., M. Guy, R. Buckmaster, C. Ostrum, S. Horvath, and, A. Vaughan, (2010), OMG earthquake! Can Twitter improve earthquake response?, Seismol. Res. Lett., 81 (2), 246-251.
10. Earle, P. S., D. C. Bowden, and, M. Guy, (2012), Twitter earthquake detection: Earthquake monitoring in a social world, Ann. Geophys., 54 (6), 708-715.
11. Evans, D. S., (1987), Global Statistical Patterns of Auroral Phenomena, Proceedings of the Symposium on Quantitative Modeling of Magnetospheric-Ionospheric Coupling Processes, 325, Kyoto.
12. Go, A., R. Bhayani, and, L. Huang, (2009), Twitter sentiment classification using distant supervision, CS224N Project Report, Stanford, 1-12.
13. Lampos, V., T. De Bie, and, N. Cristianini, (2010), Flu detector-tracking epidemics on Twitter, in Machine Learning and Knowledge Discovery in Databases, pp. 599-602, Springer, Berlin.
14. McDougall, K., (2011), Using volunteered information to map the Queensland floods, Proceedings of the 2011 Surveying and Spatial Sciences Conference: Innovation in Action: Working Smarter (SSSC 2011), 13-23, Surveying and Spatial Sciences Institute, Wellington.
15. Motoyama, M., B. Meeder, K. Levchenko, G. M. Voelker, and, S. Savage, (2010), Measuring online service availability using Twitter, WOSN10, 13-13, Boston, Mass.
16. Russell, C. T., R. L. McPherron, and, R. K. Burton, (1974), On the cause of geomagnetic storms, J. Geophys. Res., 79 (7), 1105-1109, doi: 10.1029/JA079i007p01105.
17. Perreault, P., and, S.-I. Akasofu, (1978), A study of geomagnetic storms, Geophys. J. R. Astron. Soc., 54, 547-573.
18. Priedhorsky, R., A. Culotta, and, S. Y. Del Valle, (2014), Inferring the origin locations of tweets with quantitative confidence, in Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing, ACM, Baltimore, Md.
19. Sugiura, M., (1964), Hourly values of equatorial Dst for the IGY, Ann. Int. Geophys. Year, 35, 9.
20. Sutton, J., L. Palen, and, I. Shklovski, (2008), Backchannels on the front lines: Emergent uses of social media in the 2007 southern California wildfires, in Proceedings of the 5th International ISCRAM Conference, 624-632, Washington D. C.
21. Sysomos, (2009), Inside Twitter: An In-Depth Look Inside the Twitter World (revised 2014), 21 pp., Sysomos/Marketwired, Toronto, Canada.
22. Tapia, A. H., K. Bajpai, B. J. Jansen, J. Yen, and, L. Giles, (2011), Seeking the trustworthy tweet: Can microblogged data fit the information needs of disaster response and humanitarian relief organizations, in Proceedings of the 8th International ISCRAM Conference, 1-10, Lisbon.
23. Tapia, A. H., N. LaLone, E. A. MacDonald, M. Hall, N. A. Case, and, M. Heavner, (2014), AURORASAURUS: Citizen Science, Early Warning Systems and Space Weather, Second AAAI Conference on Human Computation and Crowdsourcing, pp. 30-32, doi: 10.13140/2.1.4865.0563, Pittsburgh, Va.
24. Yu, J., S. Kelling, J. Gerbracht, and, W. K. Wong, (2012), Automated data verification in a large-scale citizen science project: A case study, 2012 IEEE 8th International Conference on In E-Science (e-Science), pp. 1-8, doi: 10.1109/eScience.2012.6404472, Chicago, Ill.
25. Zhu, W., N. Zeng, and, N. Wang, (2010), Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations, NESUG proceedings: Health care and life sciences, 1-9, Baltimore, Md.