The Rules of Contagion

(Greg DeLong) #1

  1. Kucharski A.J., ‘Modelling the transmission dynamics of online
    social contagion’, arXiv, 2016.

  2. Researchers at the University of Warwick found a similar level
    of predictability. Based on the dynamics of neknomination, they
    correctly forecast the four-week duration of the ice bucket
    challenge shortly after it emerged a few months later. Sprague
    D.A. and House T., ‘Evidence for complex contagion models of
    social contagion from observational data’, PLOS ONE, 2017.

  3. Cheng J. et al., ‘Do Cascades Recur?’, Proceedings of the 25th
    International Conference on World Wide Web, 2016.

  4. Crane R. and Sornette D., ‘Robust dynamic classes revealed by
    measuring the response function of a social system’, PNAS,
    2008.

  5. Tan C. et al., ‘Lost in Propagation? Unfolding News Cycles from
    the Source’, Association for the Advancement of Artificial
    Intelligence, 2016; Tatar A. et al., ‘A survey on predicting the
    popularity of web content’, Journal of Internet Services and
    Applications, 2014.

  6. Vosoughi S. et al., ‘The spread of true and false news online’,
    Science, 2018.

  7. Examples from: Romero D.M., ‘Differences in the Mechanics of
    Information Diffusion Across Topics: Idioms, Political Hashtags,
    and Complex Contagion on Twitter’, Proceedings of the 20th
    International Conference on World Wide Web, 2011; State B. and
    Adamic L.A., ‘The Diffusion of Support in an Online Social
    Movement: Evidence from the Adoption of Equal-Sign Profile
    Pictures’, Proceedings of the 18th ACM Conference on Computer
    Supported Cooperative Work & Social Computing, 2015;
    Guilbeault D. et al., ‘Complex Contagions: A Decade in Review’,
    in Lehmann S. and Ahn Y. (eds.), Spreading Dynamics in Social
    Systems (Springer Nature, 2018).

  8. Weng L. et al., ‘Virality Prediction and Community Structure in
    Social Networks’, Scientific Reports, 2013.

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