Identifying Persuasive Qualities of Decentralized Peer-to-Peer Online Social Networks in Public Health

  • Sahiti Myneni
  • Sriram Iyengar
  • Nathan K. Cobb
  • Trevor Cohen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7822)


Online social networks as behavior change support systems have been rapidly gaining in popularity. These networks have been studied by public health specialists from the point of view of traditional behavior change theories. However, scant research exists on the persuasive content of the messages exchanged between participants in such networks. In this paper, we use Persuasive Systems Design (PSD) model to develop a framework for identifying persuasive attributes in online social networks. This framework was applied to QuitNet, an online social network for smoking cessation. Results indicated that the communication in QuitNet had persuasive qualities such as reduction, simulation, social learning, reminders, suggestions, and rewards. Further, these features were predominantly found in messages related to “QuitNet-specific customs”, “Quit progress”, and “Family and friends”. Use of this framework enables the development of quantitative relationships between persuasive attributes and behavior change outcomes experienced by network members.


Smoking Cessation Social Cognitive Theory Network Member Online Social Network Dialogue Support 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    World Health Organization: WHO report on the global tobacco epidemic, 2011: Warning about the dangers of tobacco. Geneva, Switzerland (2011) Google Scholar
  2. 2.
    Cobb, N.K., Graham, A.L., Byron, M.J., et al.: Online social networks and smoking cessation: a scientific research agenda. J. Med. Internet Res. 13(4) (2011)Google Scholar
  3. 3.
    Centola, D.: The spread of behavior in an online social network experiment. Science 329(5996), 1194–1197 (2010)CrossRefGoogle Scholar
  4. 4.
    Chuang, K.Y., Yang, C.C.: A Study of Informational Support Exchanges in MedHelp Alcoholism Community. In: Yang, S.J., Greenberg, A.M., Endsley, M. (eds.) SBP 2012. LNCS, vol. 7227, pp. 9–17. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  5. 5.
    Reiter, E., Robertson, R., Osman, L.M.: Lessons from a failure: Generating tailored smoking cessation letters. Artificial Intelligence 144(1), 41–58 (2003)CrossRefGoogle Scholar
  6. 6.
    Prochaska, J.O., Velicer, W.F.: The Transtheoretical Model of Health Behavior Change. American Journal of Health Promotion 12(1), 38–48 (1997)CrossRefGoogle Scholar
  7. 7.
    Bandura, A.: Social cognitive theory. Encyclopedia of Psychology 7, 329–332 (2000)Google Scholar
  8. 8.
    Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: Key issues, process model, and system features. Communications of the AIS 24, 28 (2009)Google Scholar
  9. 9.
    Cobb, N.K., Graham, A.L., Bock, B.C., et al.: Initial evaluation of a real-world Internet smoking cessation system. Nicotine Tob. Res. 7(2), 207–216 (2005)CrossRefGoogle Scholar
  10. 10.
    Strauss, A., Corbin, J.: Basics of Qualitative Research: Grounded Theory Procedure and Techniques. Sage, Newbury Park (1990)Google Scholar
  11. 11.
    Heaney, C.A., Israel, B.A.: Social networks and social support. Health Behavior and Health Education: Theory, Research, and Practice 3, 185–209 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sahiti Myneni
    • 1
  • Sriram Iyengar
    • 1
  • Nathan K. Cobb
    • 2
  • Trevor Cohen
    • 1
  1. 1.School of Biomedical InformaticsUniversity of TexasHoustonUSA
  2. 2.The Schroeder Institute for Tobacco Research and Policy StudiesAmerican Legacy FoundationWashington, DCUSA

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