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

Author

Listed:
  • Courtney D. Corley

    (Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99352, USA)

  • Diane J. Cook

    (School of Electrical Engineering and Computer Science, Washington State University, PO Box 642752 Pullman, Washington 99164, USA)

  • Armin R. Mikler

    (Department of Computer Science and Engineering, University of North Texas, 1155 Union Circle #311366 Denton, TX 76203, USA)

  • Karan P. Singh

    (Department of Biostatistics, University of North Texas Health Science Center, 3500 Camp Bowie Blvd. Fort Worth, TX 76107, USA)

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. 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.

Suggested Citation

  • Courtney D. Corley & Diane J. Cook & Armin R. Mikler & Karan P. Singh, 2010. "Text and Structural Data Mining of Influenza Mentions in Web and Social Media," IJERPH, MDPI, vol. 7(2), pages 1-20, February.
    • Handle: RePEc:gam:jijerp:v:7:y:2010:i:2:p:596-615:d:7166
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    References listed on IDEAS

    as
    1. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    2. Fredrik Liljeros & Christofer R. Edling & Luís A. Nunes Amaral & H. Eugene Stanley & Yvonne Åberg, 2001. "The web of human sexual contacts," Nature, Nature, vol. 411(6840), pages 907-908, June.
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    Cited by:

    1. Donghua Chen & Runtong Zhang & Kecheng Liu & Lei Hou, 2018. "Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System," IJERPH, MDPI, vol. 15(6), pages 1-16, June.
    2. Carlos Ruiz-Núñez & Ivan Herrera-Peco & Silvia María Campos-Soler & Álvaro Carmona-Pestaña & Elvira Benítez de Gracia & Juan José Peña Deudero & Andrés Ignacio García-Notario, 2023. "Sentiment Analysis on Twitter: Role of Healthcare Professionals in the Global Conversation during the AstraZeneca Vaccine Suspension," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
    3. Sameer Kumar & Chong Xu & Nidhi Ghildayal & Charu Chandra & Muer Yang, 2022. "Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 823-851, December.

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