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Open AccessArticle

Text and Structural Data Mining of Influenza Mentions in Web and Social Media

1
Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99352, USA
2
School of Electrical Engineering and Computer Science, Washington State University, PO Box 642752 Pullman, Washington 99164, USA
3
Department of Computer Science and Engineering, University of North Texas, 1155 Union Circle #311366 Denton, TX 76203, USA
4
Department of Biostatistics, University of North Texas Health Science Center, 3500 Camp Bowie Blvd. Fort Worth, TX 76107, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2010, 7(2), 596-615; https://doi.org/10.3390/ijerph7020596
Received: 9 November 2009 / Accepted: 10 February 2010 / Published: 22 February 2010
(This article belongs to the Special Issue Public Health Informatics)
Text and structural data mining of web and social media (WSM) provides a novel disease surveillance resource and can identify online communities for targeted public health communications (PHC) to assure wide dissemination of pertinent information. WSM that mention influenza are harvested over a 24-week period, 5 October 2008 to 21 March 2009. Link analysis reveals communities for targeted PHC. Text mining is shown to identify trends in flu posts that correlate to real-world influenza-like illness patient report data. We also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags. View Full-Text
Keywords: disease surveillance; public health epidemiology; health informatics; graph-based data mining; web and social media; social network analysis disease surveillance; public health epidemiology; health informatics; graph-based data mining; web and social media; social network analysis
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MDPI and ACS Style

Corley, C.D.; Cook, D.J.; Mikler, A.R.; Singh, K.P. Text and Structural Data Mining of Influenza Mentions in Web and Social Media. Int. J. Environ. Res. Public Health 2010, 7, 596-615. https://doi.org/10.3390/ijerph7020596

AMA Style

Corley CD, Cook DJ, Mikler AR, Singh KP. Text and Structural Data Mining of Influenza Mentions in Web and Social Media. International Journal of Environmental Research and Public Health. 2010; 7(2):596-615. https://doi.org/10.3390/ijerph7020596

Chicago/Turabian Style

Corley, Courtney D.; Cook, Diane J.; Mikler, Armin R.; Singh, Karan P. 2010. "Text and Structural Data Mining of Influenza Mentions in Web and Social Media" Int. J. Environ. Res. Public Health 7, no. 2: 596-615. https://doi.org/10.3390/ijerph7020596

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