%0 Journal Article
%T Text and Structural Data Mining of Influenza Mentions in Web and Social Media
%A Courtney D. Corley
%A Diane J. Cook
%A Armin R. Mikler
%A Karan P. Singh
%J International Journal of Environmental Research and Public Health
%D 2010
%I MDPI AG
%R 10.3390/ijerph7020596
%X 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.
%K disease surveillance
%K public health epidemiology
%K health informatics
%K graph-based data mining
%K web and social media
%K social network analysis
%U http://www.mdpi.com/1660-4601/7/2/596