Providing distance thresholds to this function generally provides considerably speed gains, and results in approximations of centrality. This function enables the determination of values of 'dist_threshold' corresponding to specific degrees of accuracy.
estimate_centrality_threshold(graph, tolerance = 0.001)
A single value for 'dist_threshold' giving the required tolerance.
'data.frame' or equivalent object representing the network graph (see Details)
Desired maximal degree of inaccuracy in centrality estimates
values will be accurate to within this amount, subject to a constant scaling factor. Note that threshold values increase non-linearly with decreasing values of 'tolerance'
Other centrality:
dodgr_centrality()
,
estimate_centrality_time()