Diderot: Bibliographic Network Analysis

Enables the user to build a citation network/graph from bibliographic data and, based on modularity and heterocitation metrics, assess the degree of awareness/cross-fertilization between two corpora/communities. This toolset is optimized for Scopus data.

Version:	0.13
Depends:	R (≥ 3.0.1), foreach, graphics, igraph
Imports:	stringi, RCurl, splitstackshape, data.table, utils, stats, parallel, doParallel
Published:	2020-04-19
Author:	Christian Vincenot
Maintainer:	Christian Vincenot <christian at vincenot.biz>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	Diderot results

Documentation:

Reference manual:

Diderot.pdf

Downloads:

Package source:	Diderot_0.13.tar.gz
Windows binaries:	r-devel: Diderot_0.13.zip, r-release: Diderot_0.13.zip, r-oldrel: Diderot_0.13.zip
macOS binaries:	r-release (arm64): Diderot_0.13.tgz, r-oldrel (arm64): Diderot_0.13.tgz, r-release (x86_64): Diderot_0.13.tgz, r-oldrel (x86_64): Diderot_0.13.tgz
Old sources:	Diderot archive

Linking:

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