Dear all,
I am trying to customize the "alpha" parameter of the alpha.centrality() function, following practice that sets its value close to the reciprocal of the largest eigenvalue of the adjacency matrix.
I figured out how to obtain such eigenvalue by use of the arpack() function and the example given in its help. However, I believe I should use the weighted adjacency matrix (I have a weighted and directed network), which I cannot obtain by using get.adjacency(). Is there an option I have missed?