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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.

Usage

estimate_centrality_threshold(graph, tolerance = 0.001)

Arguments

graph

'data.frame' or equivalent object representing the network graph (see Details)

tolerance

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'

Value

A single value for 'dist_threshold' giving the required tolerance.

Note

This function may take some time to execute. While running, it displays ongoing information on screen of estimated values of 'dist_threshold' and associated errors. Thresholds are progressively increased until the error is reduced below the specified tolerance.

See also