Influencer Viewer (not yet bought) Purchased
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Social Proof Cascade in Live Commerce

A live-shopping stream is modelled as a network of 140 viewers orbiting a central influencer node. Each frame, unbought viewers are tested against a logistic purchase-probability function built from three real drivers of social commerce: direct influencer reach, social proof from already-purchasing neighbours in the viewer graph, and scarcity urgency as a fixed stock pool depletes. Watch purchase notifications ripple outward from directly-reached viewers into their neighbourhoods — a real information cascade, not a scripted animation — while conversion rate, cascade depth and the direct-vs-social-proof purchase split update live. Tune influencer reach, social-proof weight, scarcity weight and initial stock to see how each lever reshapes the sellout curve.