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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