stochastic block model

Data
stochastic block model

an n-node stochastic block model (SBM) graph with C communities is given by

P=YBYT,AP

where

  • Y{0,1}n×c is the community assignment matrix (if yic=1 then node i belongs to community c)
  • B is the matrix of intra- and inter-community probabilities: Bc1,c2 is the edge probability for a node pair (i,j) such that Yic1=1,Yjc2=1
  • A is the adjacency matrix
Note

While B can take any value (as long as it is symmetric), often we have $$B = \begin{cases}p \text{ if }c_{1}=c_{2} \ q \text{ otherwise}\end{cases}$$
with q=1p

see also the wikipedia

Mentions

File
almost exact recovery is impossible when the signal to noise ratio is less than the threshold
almost exact recovery
balanced stochastic block model
contextual stochastic block model
signal to noise ratio
2025-02-03 graphs lecture 4
2025-02-10 graphs lecture 6
2025-02-12 graphs lecture 7
2025-03-04 equivariant lecture 6
Peer effects in the linear-in-means model may be inestimable even when identified