Social media for crisis management: clustering approaches for sub-event detection

Multimedia Tools and Applications

Volumn 74, Issue 11, 2015, Pages 3901-3932

  Pohl, Daniela ^a   Bouchachia, Abdelhamid ^b   Hellwagner, Hermann ^a  

^a UNIVERSITY OF KLAGENFURT   (Austria)

^b BOURNEMOUTH UNIVERSITY   (United Kingdom)

Author keywords

Clustering; Crisis management; Information search and retrieval; Social media; Sub event detection

Indexed keywords

DATA HANDLING; DECISION MAKING; SOCIAL NETWORKING (ONLINE);

CLUSTERING; CRISIS MANAGEMENT; INFORMATION SEARCH AND RETRIEVAL; SOCIAL MEDIA; SUB-EVENTS;

CLUSTERING ALGORITHMS;

EID: 84929839446     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-013-1804-2     Document Type: Article

References (44)

1. Avila LA, Cangialosi J (2012) National Hurricane Center. http://www.nhc.noaa.gov/data/tcr/AL092011_Irene.pdf
2. BBC News Europe (2012) England Riots: Maps and Timeline. http://www.bbc.co.uk/news/uk-14436499
3. Becker H, Naaman M, Gravano L (2010) Learning similarity metrics for event identification in social media. In: Proceedings of the 3rd ACM international conference on web search and data mining, WSDM ’10. ACM, New York, pp 291–300
4. Bergstrand F, Landgren J (2009) Information sharing using live video in emergency response work. In: Proceedings of the 6th international conference on information systems for crisis response and management
5. Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022
6. Bouchachia A, Pedrycz W (2006) Enhancement of fuzzy clustering by mechanisms of partial supervision. Fuzzy Sets Syst 157(13):1733–1759. doi:10.1016/j.fss.2006.02.015. http://www.sciencedirect.com/science/article/pii/S0165011406000960
7. Choudhary A, Hendrix W, Lee K, Palsetia D, Liao WK (2012) Social media evolution of the Egyptian revolution. Commun ACM 55(5):74–80
8. Cover TM, Thomas JA (2006) Entropy, relative entropy and mutual information. In: Elements of information theory. Wiley, New Jersey
9. Davies DL, Bouldin DW (1979) A cluster separation measure. IEEE Trans Pattern Anal Mach Intell PAMI-1(2):224–227. doi:10.1109/TPAMI.1979.4766909
10. Duda P, Hart E, Stork D (2001) Pattern classification. Wiley, New York
11. Fellbaum C (1998) WordNet: an electronic lexical database. MIT Press, Cambridge
12. Fontugne R, Cho K, Won Y, Fukuda K (2011) Disasters seen through Flickr Cameras. In: Proceedings of the special workshop on internet and disasters, SWID ’11. ACM, New York, pp 5:1–5:10
13. Han D, Li W, Li Z (2008) Semantic image classification using statistical local spatial relations model. Multimed Tools Appl 39(2):169–188
14. Ireson N (2009) Local community situational awareness during an emergency. In: 3rd IEEE international conference on digital ecosystems and technologies (DEST ’09), pp 49–54
15. Jaffe A, Naaman M, Tassa T, Davis M (2006) Generating summaries and visualization for large collections of geo-referenced photographs. In: Proceedings of the 8th ACM int’l workshop on multimedia information retrieval. ACM, New York, pp 89–98
16. Kohonen T (1990) The self-organizing map. Proc IEEE 78(9):1464–1480
17. Larose DT (2005) Discovering knowledge in data: an introduction to data mining. Wiley, Hoboken
18. Liu S, Palen L, Sutton J, Hughes A, Vieweg S (2008) In search of the bigger picture: the emergent role of on-line photo-sharing in times of disaster. In: Proceedings of the information systems for crisis response and management conf
19. Manning CD, Raghavan P, Schütze H (2008) Introduction to information retrieval. Cambridge University Press, Cambridge
20. Marcus A, Bernstein MS, Badar O, Karger DR, Madden S, Miller RC (2011) Twitinfo: aggregating and visualizing microblogs for event exploration. In: Proceedings of annual conference on human factors in computing systems. ACM, New York, pp 227–236
21. Mathioudakis M, Koudas N (2010) TwitterMonitor: trend detection over the Twitter stream. In: Proceedings of the international conference on management of data, SIGMOD ’10. ACM, New York, pp 1155–1158
22. Petkos G, Papadopoulos S, Kompatsiaris Y (2012) Social event detection using multimodal clustering and integrating supervisory signals. In: Proceedings of the 2nd ACM international conference on multimedia retrieval, ICMR ’12. ACM, New York, pp 23:1–23:8
23. Petrović S, Osborne M, Lavrenko V (2010) Streaming first story detection with application to Twitter. In: The 2010 annual conferenece of the North American chapter of the association for computational linguistics, HLT ’10. Association for Computational Linguistics, Stroudsburg, pp 181–189
24. Pohl D, Bouchachia A, Hellwagner H (2012) Automatic identification of crisis-related sub-events using clustering. In: International conference on machine learning and applications (ICMLA). Florida
25. Pohl D, Bouchachia A, Hellwagner H (2012) Automatic sub-event detection in emergency management using social media. In: First international workshop on social web for disaster management (SWDM), in conjunction with WWW’12. Lyon
26. Pohl D, Bouchachia A, Hellwagner H (2012) Supporting crisis management via sub-event detection in social networks. In: International conference on collaboration technologies and infrastructures. Toulouse
27. Public Health Emergency: Hurricane Irene 2011 (2012) http://www.phe.gov/emergency/news/sitreps/Pages/irene-2011.aspx
28. Rattenbury T, Good N, Naaman M (2007) Towards automatic extraction of event and place semantics from Flickr tags. In: Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval, SIGIR ’07. ACM, New York, pp 103–110
29. Rogstadius J, Kostakos V (2011) Towards real-time emergency response using crowd supported analysis of social media. In: Proceedings CHI workshop on crowdsourcing and human computation: systems, studies and platforms
30. Rousseeuw PJ (1987) Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 20:53–65
31. Sagun A (2010) Advanced ICTs for disaster management and threat detection: collaborative and distributed frameworks, chap. Efficient deployment of ICT tools in disaster management process. Peremier Reference Source, pp 95–107
32. Salton G, Wong A, Yang CS (1975) A vector space model for automatic indexing. Commun ACM 18(11):613–620
33. Slaney M (2011) Web-scale multimedia analysis: does content matter? IEEE Multimed 18(2):12–15. doi:10.1109/MMUL.2011.34
34. Strehl A, Ghosh J (2003) Cluster ensembles—a knowledge reuse framework for combining multiple partitions. J Mach Learn Res 3:583–617
35. Terpstra T, de Vries A, Stronkman R, Paradies GL (2012) Towards a realtime Twitter analysis during crises for operational crisis management. In: Proceedings of the 9th international ISCRAM conference Vancouver
36. Theodoridis S, Koutroumbas K (2006) Pattern recognition. Elsevier/Academic Press, San Diego
37. Tucker S, Lanfranchi V, Ireson N, Sosa A, Burel G, Ciravegna F (2012) “Straight to the information I need”: assessing collational interfaces for emergency response. In: Proceedings of the 9th international ISCRAM conference. Vancouver
38. Vesanto J (2000) Neural network tool for data mining: SOM toolbox. In: TOOLMET 2000 symposiumtool environments and development methods for intelligent systems. Oulu
39. Vieweg S, Hughes AL, Starbird K, Palen L (2010) 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, CHI ’10. ACM, New York, pp 1079–1088
40. Ward JH (1963) Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58:236–244
41. Yang Y, Carbonell JG, Brown RD, Pierce T, Archibald BT, Liu X (1999) Learning approaches for detecting and tracking news events. IEEE Intell Syst 14(4):32–43
42. Yates D, Paquette S (2011) Emergency knowledge management and social media technologies: a case study of the 2010 Haitian earthquake. Int J Inf Manag 31(1):6–13
43. Yin J, Lampert A, Cameron M, Robinson B, Power R (2012) Using social media to enhance emergency situation awareness. IEEE Intell Syst PP(99):1
44. Zhou C, Frankowski D, Ludford P, Shekhar S, Terveen L (2007) Discovering personally meaningful places: an interactive clustering approach. ACM Trans Inf Syst 25(3):65–95