brainconn.core.score_wu

score_wu(CIJ, s)[source]

The s-core is the largest subnetwork comprising nodes of strength at least s. This function computes the s-core for a given weighted undirected connection matrix. Computation is analogous to the more widely used k-core, but is based on node strengths instead of node degrees.

Parameters:
  • CIJ (NxN numpy.ndarray) – weighted undirected connection matrix
  • s (float) – level of s-core. Note that can take on any fractional value.
Returns:

  • CIJscore (NxN numpy.ndarray) – connection matrix of the s-core. This matrix contains only nodes with a strength of at least s.
  • sn (int) – size of s-core