Finding indicators of epidemiological events by analysing messages from Twitter and other social networks

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 7-10

  Smrz, Pavel ^a   Otrusina, Lubomir ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

public health events; social media analysis; twitter messages

Indexed keywords

EARLY DETECTION; PUBLIC-HEALTH EVENTS; SOCIAL MEDIA ANALYSIS; SOCIAL NETWORKS; TWITTER MESSAGES;

INFORMATION DISSEMINATION;

SOCIAL NETWORKING (ONLINE);

EID: 83255184358     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2064741.2064744     Document Type: Conference Paper

References (7)

1. H. Achrekar, A. Gandhe, R. Lazarus, S.-H. Yu, and B. Liu. Predicting flu trends using twitter data new. In Proceedings of the International Workshop on Cyber-Physical Networking Systems (CPNS) 2011, in conjunction with IEEE Infocom, 2011.
2. C. Chew and G. Eysenbach. Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak. PLoS ONE, 5(11):e14118, 11 2010.
3. K. Denecke, G. Kirchner, P. Dolog, P. Smrz, J. Linge, G. Backfried, and J. Dreesman. Event-driven architecture for health event detection from multiple sources. In Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE 2011), page 5. IOS Press, 2011.
4. J. H. Jones and M. Salathé. Early assessment of anxiety and behavioral response to novel swine-origin influenza a(h1n1). PLoS ONE, 4(12):e8032, 12 2009.
5. A. Lobbb. Tracking disease with twitter: Social media epidemiology. http://www.justmeans.com/Tracking-Disease-With-Twitter-Social-Media/ Epidemiology/42856.html.
6. A. Signorini, A. M. Segre, and P. M. Polgreen. The use of twitter to track levels of disease activity and public concern in the u.s. during the influenza a h1n1 pandemic. PLoS ONE, 6(5):e19467, 05 2011.
7. R. Steinberger, F. Fuart, E. van der Goot, C. Best, P. von Etter, and R. Yangarber. Text mining from the web for medical intelligence. 2008.