Bursts, Cascades, and Hot Spots: Algorithmic Models of Social Phenomena
summary
Uses geotagged Flickr photos (2009) and a mean shift density search plus Bayes‑style tag scoring to find hotspots at 100 km and 100 m scales, producing the top 20 landmarks automatically and plausible tour‑guide labels. Maps local social structure by computing three‑ and four‑node subgraph counts for each ego neighborhood, finds a thin one‑dimensional manifold near the G(n,p) curve, and formulates threshold contagion (random thresholds per node) with open complexity questions. Validates a behavioral effect on Facebook with ~50 million invitations: disconnected friends double acceptance versus connected.
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chapters (18)
- 0:00Introduction
- 0:15History of Computing
- 1:21The Crowd as the Library
- 4:20Models of Social Phenomena
- 9:20Flickr
- 14:42Hot Spots
- 18:47Network Structure
- 20:27Network Neighborhoods
- 23:41Graphs
- 28:26Coastlines
- 32:41GNP
- 34:28Diffusion of Innovations
- 36:44Threshold Contagion
- 39:44Open Questions
- 41:16Challenging
- 42:26Open Question
- 49:52Open vs Closed Neighborhoods
- 55:32Conversational Curation
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