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

Description:

This article discusses text and structural data mining of influenza mentions in web and social media.

Creator(s):
Creation Date: February 22, 2010
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Total Uses: 61
Past 30 days: 3
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Creator (Author):
Corley, Courtney

Pacific Northwest National Laboratory

Creator (Author):
Cook, Diane J., 1963-

Washington State University

Creator (Author):
Mikler, Armin R.

University of North Texas

Creator (Author):
Singh, Karan P.

University of North Texas Health Science Center

Publisher Info:
Place of Publication: [Basel, Switzerland]
Date(s):
  • Creation: February 22, 2010
Description:

This article discusses text and structural data mining of influenza mentions in web and social media.

Degree:
Note:

Abstract: 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. The authors also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags.

Physical Description:

20 p.

Language(s):
Subject(s):
Keyword(s): disease surveillance | public health epidemiology | health informatics | graph-based data mining | web and social media | social network analysis
Source: International Journal of Environmental Research and Public Health, 2010, Basel: Multidisciplinary Digital Publishing Institute (MDPI), pp. 596-615
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • DOI: 10.3390/ijerph7020596
  • ISSN: 1660-4601
  • ARK: ark:/67531/metadc111288
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: International Journal of Environmental Research and Public Health
Volume: 7
Page Start: 596
Page End: 615
Peer Reviewed: Yes