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A Comparative Study of Smoking Cessation Intervention Programs on Social Media

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Social Computing, Behavioral - Cultural Modeling and Prediction (SBP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7227))

Abstract

As an alternative to traditional face-to-face counseling and support group, social media has become a new venue for health intervention programs. Different online intervention channels have their own characteristics and advantages. This study focuses on comparing two types of online intervention channels, i.e., forum and Facebook page, for smoking cessation using social network analysis techniques. QuitNet is a popular online intervention program for smoking cessation. In this study, we collected data from QuitNet’s forum and its Facebook group page and constructed two social networks, respectively. We analyzed and compared these two social networks with a focus on users’ quit statuses and communication patterns in the two different channels.

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Author information

Authors and Affiliations

  1. College of Information Science and Technology, Drexel University, 19104, Philadelphia, PA, United States

    Mi Zhang, Christopher C. Yang & Jiexun Li

Authors
  1. Mi Zhang
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  2. Christopher C. Yang
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  3. Jiexun Li
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Rochester Institute of Technology, 14623, Rochester, New York, USA

    Shanchieh Jay Yang

  2. Applied Physics Laboratory, Research and Exploratory Development Department, Johns Hopkings University, 20723, Laurel, MD, USA

    Ariel M. Greenberg

  3. SA Technologies, 3750 Paladian Viillage Drive, Building 600, 30066, Marietta, GA, USA

    Mica Endsley

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, M., Yang, C.C., Li, J. (2012). A Comparative Study of Smoking Cessation Intervention Programs on Social Media. In: Yang, S.J., Greenberg, A.M., Endsley, M. (eds) Social Computing, Behavioral - Cultural Modeling and Prediction. SBP 2012. Lecture Notes in Computer Science, vol 7227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29047-3_11

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  • DOI: https://doi.org/10.1007/978-3-642-29047-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29046-6

  • Online ISBN: 978-3-642-29047-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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