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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:

Please use the canonical form https://CRAN.R-project.org/package=Diderot to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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