The Rules of Contagion

(Greg DeLong) #1

  1. Milgram S., ‘The small-world problem’, Psychology Today, 1967.

  2. Dodds P.S. et al., ‘An Experimental Study of Search in Global
    Social Networks’, Science, 2003.

  3. Bakshy E. et al., ‘Everyone’s an Influencer: Quantifying Influence
    on Twitter’, Proceedings of the Fourth ACM International
    Conference on Web Search and Data Mining (WSDM’11), 2011.

  4. Aral S. and Walker D., ‘Identifying Influential and Susceptible
    Members of Social Networks’, Science, 2012.

  5. Aral S. and Dillon P., ‘Social influence maximization under
    empirical influence models’, Nature Human Behaviour, 2018.

  6. Data from: Ugander J. et al., ‘The Anatomy of the Facebook
    Social Graph’, arXiv, 2011; Kim D.A. et al., ‘Social network
    targeting to maximise population behaviour change: a cluster
    randomised controlled trial’, The Lancet, 2015; Newman M.E.,
    ‘Assortative mixing in networks’, Physical Review Letters, 2002;
    Apicella C.L. et al., ‘Social networks and cooperation in hunter-
    gatherers’, Nature, 2012.

  7. Conclusion supported by: Aral S. and Dillon P., Nature Human
    Behaviour, 2018; Bakshy E. et al., WSDM, 2011; Kim D.A. et al.,
    The Lancet, 2015.

  8. Buckee C.O.F. et al., ‘The effects of host contact network
    structure on pathogen diversity and strain structure’, PNAS,
    2004; Kucharski A., ‘Study epidemiology of fake news’, Nature,
    2016.

  9. Bessi A. et al., ‘Science vs Conspiracy: Collective Narratives in
    the Age of Misinformation’, PLOS ONE, 2015; Garimella K. et al.,
    ‘Political Discourse on Social Media: Echo Chambers,
    Gatekeepers, and the Price of Bipartisanship’, Proceedings of the
    World Wide Web Conference 2018, 2018.

  10. Background from: Goldacre B., Bad Science (Fourth Estate,
    2008); The Editors of The Lancet, ‘Retraction – Ileal-lymphoid-

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