Netwalk

From Cohen Courses
Revision as of 10:42, 3 September 2010 by WikiAdmin (talk | contribs) (1 revision)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

This is a method for the problem of Community Detection

1. Calculate the proximity index D(i,j) for all nearest neighboring pairs

  • proximity index is square root of sum of the squares of difference of mean-passage times.
  • mean-passage time is average number of steps taken by the particle from i to j.
  • O(N^3) computation time.

2. N communities initially each contain a single vertex. Proximity index between two communities D(a,b) = Sum (D(i,j))/n all edges between ith node in a, and jth node in b

3. Merge communities with low proximity index. Merging goes on until all the vertices are merged into a single community.

Relevant Papers