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influenceR: Software Tools to Quantify Structural Importance of
  Nodes in a Network

  Provides functionality to compute various node centrality measures
  on networks. Included are functions to compute betweenness centrality
  (by utilizing Madduri and Bader's SNAP library), implementations
  of Burt's constraint and effective network size (ENS) metrics,
  Borgatti's algorithm to identify key players, and Valente's bridging
  metric. On Unix systems, the betweenness, Key Players, and bridging
  implementations are parallelized with OpenMP, which may run faster
  on systems which have OpenMP configured.

  WWW: https://cran.r-project.org/web/packages/influenceR/
This commit is contained in:
TAKATSU Tomonari 2016-07-22 23:42:49 +00:00
parent 9d6726044c
commit d815992e55
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=418937
4 changed files with 37 additions and 0 deletions
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1
math/Makefile
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@ -40,6 +40,7 @@
SUBDIR += R-cran-gss
SUBDIR += R-cran-gtable
SUBDIR += R-cran-igraph
SUBDIR += R-cran-influenceR
SUBDIR += R-cran-inline
SUBDIR += R-cran-irlba
SUBDIR += R-cran-labeling

20
math/R-cran-influenceR/Makefile Normal file
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@ -0,0 +1,20 @@
# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
# $FreeBSD$
PORTNAME= influenceR
PORTVERSION= 0.1.0
CATEGORIES= math
DISTNAME= ${PORTNAME}_${PORTVERSION}
MAINTAINER= tota@FreeBSD.org
COMMENT= Software Tools to Quantify Structural Importance of Nodes in a Network
LICENSE= GPLv2
CRAN_DEPENDS= R-cran-igraph>0:math/R-cran-igraph
BUILD_DEPENDS= ${CRAN_DEPENDS}
RUN_DEPENDS= ${CRAN_DEPENDS}
USES= cran:auto-plist,compiles
.include <bsd.port.mk>

3
math/R-cran-influenceR/distinfo Normal file
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@ -0,0 +1,3 @@
TIMESTAMP = 1469186410
SHA256 (influenceR_0.1.0.tar.gz) = 4fc9324179bd8896875fc0e879a8a96b9ef2a6cf42a296c3b7b4d9098519e98a
SIZE (influenceR_0.1.0.tar.gz) = 23498

13
math/R-cran-influenceR/pkg-descr Normal file
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@ -0,0 +1,13 @@
influenceR: Software Tools to Quantify Structural Importance of
Nodes in a Network
Provides functionality to compute various node centrality measures
on networks. Included are functions to compute betweenness centrality
(by utilizing Madduri and Bader's SNAP library), implementations
of Burt's constraint and effective network size (ENS) metrics,
Borgatti's algorithm to identify key players, and Valente's bridging
metric. On Unix systems, the betweenness, Key Players, and bridging
implementations are parallelized with OpenMP, which may run faster
on systems which have OpenMP configured.
WWW: https://cran.r-project.org/web/packages/influenceR/