brainconn.centrality.gateway_coef_sign

gateway_coef_sign(W, ci, centrality_type='degree')[source]

The gateway coefficient is a variant of participation coefficient. It is weighted by how critical the connections are to intermodular connectivity (e.g. if a node is the only connection between its module and another module, it will have a higher gateway coefficient, unlike participation coefficient).

Parameters:
  • W (NxN numpy.ndarray) – undirected signed connection matrix
  • ci (Nx1 numpy.ndarray) – community affiliation vector
  • centrality_type (enum) – ‘degree’ - uses the weighted degree (i.e, node strength) ‘betweenness’ - uses the betweenness centrality
Returns:

  • Gpos (Nx1 numpy.ndarray) – gateway coefficient for positive weights
  • Gneg (Nx1 numpy.ndarray) – gateway coefficient for negative weights

References

[1]Vargas ER, Wahl LM, Eur Phys J B (2014) 87:1-10