relative_reprogrammability: Calculate Relative Reprogrammability

In allgebrist/algodyn: Algorithmic Information Dynamics

Description

Calculate Relative Reprogrammability

Usage

relative_reprogrammability(x, what, block_size = 4, offset = 4)

Arguments

x	an igraph object.
what	graph elements to be removed (i.e. edges or vertices).
block_size	block size required to estimate the Kolmogorov-Chaitin complexity of x using the 2-dimensional Block Decomposition Method (BDM).
offset	offset required to estimate the Kolmogorov-Chaitin complexity of x using the 2-dimensional Block Decomposition Method (BDM).

Details

The Relative Reprogrammability index measures the shape of a graph's information signature.

Value

A numeric corresponding to the Relative Reprogrammability index of the input graph.

Examples

## Not run: 
robertson_graph <- make_graph("Robertson")
relative_reprogrammability(robertson_graph, 'edges')

## End(Not run)

allgebrist/algodyn documentation built on Oct. 21, 2019, 2:47 a.m.