Public behavior response analysis in disaster events utilizing visual analytics of microblog data

Computers and Graphics (Pergamon)

Volumn 38, Issue 1, 2014, Pages 51-60

  Chae, Junghoon ^a   Thom, Dennis ^b   Jang, Yun ^c   Kim, Sungye ^d   Ertl, Thomas ^b   Ebert, David S ^a  

^a PURDUE UNIVERSITY   (United States)

^b UNIVERSITY OF STUTTGART   (Germany)

^c Sejong University   (South Korea)

^d INTEL CORPORATION   (United States)

Author keywords

Disaster management; Social media analysis; Visual analytics

Indexed keywords

DECISION SUPPORT SYSTEMS; DISASTER PREVENTION; EMERGENCY SERVICES; LOCATION BASED SERVICES; SOCIAL NETWORKING (ONLINE); VISUALIZATION;

DISASTER MANAGEMENT; LOCATION-BASED SOCIAL NETWORKS; SITUATIONAL AWARENESS; SOCIAL MEDIA ANALYSIS; SPATIAL DECISION SUPPORT; SPATIO-TEMPORAL DATA; SPATIOTEMPORAL ANALYSIS; VISUAL ANALYTICS;

INFORMATION MANAGEMENT;

EID: 84887906334     PISSN: 00978493     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cag.2013.10.008     Document Type: Article

References (30)

1. Webster T. The social habit - frequent social networkers, Retrieved March 3, 2013. 〈 http://www.edisonresearch.com/home/archives/2010/ 06/the-social-habit-frequent-social
2. Committee on Public Response to Alerts and Warnings Using Social Media: Current Knowledge and Research Gaps; Computer on Science and Technology Board; Division on Engineering and Physical Sciences; National Research Council. Public Response to Alerts and Warnings Using Social Media: Report of a Workshop on Current Knowledge and Research Gaps. The National Academies Press; 2013.
3. American Red Cross. Social media in disasters and emergencies. Retrieved March 3, 2013, 〈 http://i.dell.com/sites/content/shared- content/campaigns/en/Documents/red-cross-survey-social-media-in-disasters-aug- 2010.pdf 2010.
4. Chae J, Thom D, Jang Y, Kim SY, Ertl T, Ebert D. Visual analytics of microblog data for public behavior analysis in disaster events. In: EuroVis workshop on visual analytics; 2013. p. 67-71.
5. MacEachren A, Jaiswal A, Robinson A, Pezanowski S, Savelyev A, Mitra P, et al. Senseplace2: geotwitter analytics support for situational awareness. In: 2011 IEEE conference on visual analytics science and technology (VAST); 2011. p. 181-90.
6. Marcus A, Bernstein MS, Badar O, Karger DR, Madden S, Miller RC. Twitinfo: aggregating and visualizing microblogs for event exploration. In: Proceedings of the 2011 annual conference on human factors in computing systems. ACM; 2011. p. 227-36.
7. Thom D, Bosch H, Koch S, Woerner M, Ertl T. Spatiotemporal anomaly detection through visual analysis of geolocated twitter messages. In: IEEE pacific visualization symposium (PacificVis); 2012. p. 41-8.
8. Sakaki T, Okazaki M, Matsuo Y. Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on World wide web. WWW '10. ACM; 2010. p. 851-60.
9. N. Andrienko, G. Andrienko, and P. Gatalsky Exploring changes in census time series with interactive dynamic maps and graphics Comput Stat 16 3 2001 417 433 (Pubitemid 33660760)
10. Lee R, Sumiya K. Measuring geographical regularities of crowd behaviors for twitter-based geo-social event detection. In: Proceedings of the 2nd ACM SIGSPATIAL international workshop on location based social networks. LBSN '10. ACM; 2010. p. 1-10.
11. Pozdnoukhov A, Kaiser C. Space-time dynamics of topics in streaming text. In: Proceedings of the 3rd ACM SIGSPATIAL international workshop on location-based social networks. LBSN '11. New York, NY, USA: ACM; 2011. p. 1-8.
12. Abel F, Hauff C, Houben GJ, Stronkman R, Tao K. Semantics+ filtering+ search= twitcident. exploring information in social web streams. In: Proceedings of the 23rd ACM conference on hypertext and social media. ACM; 2012. p. 285-94.
13. Terpstra T, de Vries A, Stronkman R, Paradies G. Towards a realtime twitter analysis during crises for operational crisis management. In: Proceedings of the 9th international ISCRAM conference; 2012.
14. Vieweg S, Hughes AL, Starbird K, Palen L. Microblogging during two natural hazards events: what twitter may contribute to situational awareness. In: Proceedings of the 28th international conference on Human factors in computing systems. ACM; 2010. p. 1079-88.
15. Heverin T, Zach L. Microblogging for crisis communication: examination of twitter use in response to a 2009 violent crisis in the seattle-tacoma, Washington area. In: Proceedings of the 7th international ISCRAM conference-Seattle, vol. 1; 2010.
16. Twitter. The geography of tweets. Retrieved August 24, 2013, 〈 https://blog.twitter.com/2013/geography-tweets-3 2013.
17. Wikipedia. Hurricane sany. Retrieved April 30, 2013, 〈 http://en.wikipedia.org/wiki/Hurricane-Sandy 2012.
18. Wikipedia. Effects of hurricane Sandy in New Jersey. Retrieved June 11, 2013, 〈 http://en.wikipedia.org/wiki/Effects-of-Hurricane- Sandy-in-New-Jersey 2012.
19. G. Andrienko, N. Andrienko, P. Jankowski, D. Keim, M. Kraak, and A. MacEachren Geovisual analytics for spatial decision support setting the research agenda Int J Geogr Inf Sci 21 8 2007 839 857 (Pubitemid 46993213)
20. A. Robinson, R. Roth, J. Blanford, S. Pezanowski, and A. MacEachren Developing map symbol standards through an iterative collaboration process Environ Plan B Plan Des 39 6 2012 1034 1048
21. Wikipedia. 2013 moore tornado. Retrieved June 12, 2013, 〈 http://en.wikipedia.org/wiki/2013-Moore-tornado 2013.
22. Twitchy. Convoy of hope: Glenn beck arrives in okla. With two truckloads of food, water and diapers. Retrieved August 26, 2013, 〈 http://twitchy.com/2013/05/21/convoy-of-hope-glenn-beck-arrives-in-okla-with- two-truckloads-of-food-water-and-diapers/ 2013.
23. D.M. Blei, A.Y. Ng, and M.I. Jordan Latent Dirichlet allocation J Mach Learn Res 3 2003 993 1022
24. R.B. Cleveland, W.S. Cleveland, J.E. McRae, and I. Terpenning STL a seasonal-trend decomposition procedure based on loess J Off Stat 6 1 1990 3 73 (with discussion)
25. Chae J, Thom D, Bosch H, Jang Y, Maciejewski R, Ebert D, et al. Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition. In: IEEE conference on visual analytics science and technology; 2012. p. 143-52.
26. Maciejewski R, Hafen R, Rudolph S, Larew S, Mitchell M, Cleveland W, et al. Forecasting hotspots - a predictive analytics approach. IEEE Trans Visual Comput Graph April;17(4):440-53.
27. Malik A, Maciejewski R, Hodgess E, Ebert D. Describing temporal correlation spatially in a visual analytics environment. In: 2011 44th Hawaii international conference on system Sciences (HICSS). p. 1-8.
28. N. Andrienko, G. Andrienko, and P. Gatalsky Exploratory spatio-temporal visualization an analytical review J Vis Lang Comput 14 6 2003 503 541 (Visual Data Mining) (Pubitemid 37468951)
29. A.M. Treisman, and G. Gelade A feature-integration theory of attention Cogn Psychol 12 1 1980 97 136
30. New York City. Hurricane evacuation map. Retrieved March 3, 2013, 〈 http://gis.nyc.gov/oem/he/map.htm 2012.