Repeatedly fits a centrality model to a binary interaction network to return a probability matrix
FitCentrality(list, N_runs = 10, maxit = 10000,
method = "Nelder-Mead", ExtraSettings = NULL)Network List
Number of start points to try. The best (maximum likelihood) half will be used to construct the probability matrix
Default = 10'000
Passed to optim, default = 'Nelder-Mead'
Other control settings to pass to optim()
Network list with added 'C_par', best fitting parameters, C_ProbsMatrix, the probability matrix