Going viral: How ideas, beliefs, and innovations spread in the digital age
A new mathematical model shows viral cascades don’t require tipping points—most ideas fizzle, but a few evolve in content and intensity as they spread, fueling unpredictable social contagion at scale.
By Laurent Hébert-Dufresne, Juniper Lovato, Giulio Burgio, James P. Gleeson, S. Redner, and P. L. Krapivsky