MC_baseline_distribution {Diderot} R Documentation

## Function to compute baseline heterocitation values for the graph under study with random permutation of corpus attributions

### Description

This function performs Monte Carlo runs with random permutations of corpus tags in the graph provided and computes the heterocitation balance on the new graphs. Permutation is repeated over several iterations (set through the "rep" argument) and provides a baseline Dx values for the graph topology considered. This can then be compared with the Dx value obtained for the original graph to evaluate whether it could merely be the result of chance (see significance_Dx).

### Usage

MC_baseline_distribution(gr, labels, infYearLimit, supYearLimit, rep = 20)


### Arguments

 gr Graph file (created with build_graph) labels List of the names of the two corpora studied (e.g. c("Computer Science", "Mathematics")), present in the "Corpus" attribute infYearLimit Minimum year considered in this study supYearLimit Maximum year considered in this study rep Number of Monte Carlo iterations

### Value

This function currently plots the histograms of distribution of Dx values generated through random permutations of corpus tags among the records. Returns a list containing:

 Dx1 Dx value for corpus 1 per iteration Dx1 Dx value for corpus 2 per iteration DxALL Global Dx value per iteration

### Author(s)

Christian Vincenot (christian@vincenot.biz)

significance_Dx, heterocitation