MC_baseline_distribution: Function to compute baseline heterocitation values for the...

In Diderot: Bibliographic Network Analysis

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 ([e-mail])

See Also

significance_Dx, heterocitation

Diderot documentation built on April 19, 2020, 4:16 p.m.