- Goel S. et al., ‘The Structural Virality of Online Diffusion’,
Management Science, 2016. - Goel S. et al., ‘The Structure of Online Diffusion Networks’,
EC’12 Proceedings of the 13th ACM Conference on Electronic
Commerce, 2012; Tatar A. et al., ‘A survey on predicting the
popularity of web content’, Journal of Internet Services and
Applications, 2014. - Watts D.J. et al., ‘Viral Marketing for the Real World’, Harvard
Business Review, 2007. - Method from: Blumberg S. and Lloyd-Smith J.O., PLOS
Computational Biology, 2013. This calculation works even if there
is potential for superspreading events. - Chowell G. et al., ‘Transmission potential of influenza A/H7N9,
February to May 2013, China’, BMC Medicine, 2013. - Watts D.J. et al., ‘Viral Marketing for the Real World’, Harvard
Business Review, 2007. Note that technical issues with the e-
mail campaign may have artificially reduced the reproduction
number for Tide to some extent. - Breban R. et al., ‘Interhuman transmissibility of Middle East
respiratory syndrome coronavirus: estimation of pandemic risk’,
The Lancet, 2013. - Geoghegan J.L. et al., ‘Virological factors that increase the
transmissibility of emerging human viruses’, PNAS, 2016. - García-Sastre A., ‘Influenza Virus Receptor Specificity’,
American Journal of Pathology, 2010. - Adamic L.A. et al., ‘Information Evolution in Social Networks’,
Proceedings of the Ninth ACM International Conference on Web
Search and Data Mining (WSDM’16), 2016. - Cheng J. et al., ‘Do Diffusion Protocols Govern Cascade
Growth?’, AAAI Publications, 2018.
greg delong
(Greg DeLong)
#1