Graphons and Graph Limits 1
Talkat Graph Limits and Processes on Networks: From Epidemics to Misinformation Boot Camp · 2022-08-29..09-02
summary
Dense graph sequences have a single concrete limit object: graphon = W:[0,1]^2→[0,1], a symmetric feature-kernel that generates inhomogeneous random graphs by sampling vertex features and connecting independently with probability W(x,y). Multiple practical similarity tests—normalized induced subgraph counts, sampling distributions, multiway cut values and microcanonical free energies—are provably equivalent (technical proofs span ~100 pages). Exchangeable infinite arrays admit the Aldous–Hoover representation (possibly random W); DeFinetti/Polya‑urn intuition explains why conditioning on latent features yields conditional independence.
AI-written summary · about
chapters (16)
- 0:00Program introduction
- 3:44Bootcamp agenda
- 6:27Workshop overview
- 8:25Graph limits introduction
- 13:06Graphon concept
- 15:01Modeling large graphs
- 18:09Random graph models
- 22:12Exchangeable sequences
- 26:52Aldous-Hoover theorem
- 34:48Exchangeable graphs
- 39:08Aldous-Hoover for graphs
- 45:28Metric spaces and graphs
- 1:02:06Convergence definitions
- 1:10:08Cut convergence
- 1:15:41Physics connection
- 1:21:50Cut metric details
