George Vega is an economist working at the Chilean Pension Supervisor and cofounder of nodoschile.org. His research interests are Statistical Computing, HPC, Complex Systems and Public Policy.
The first R library to work with GEXF files, rgexf allows both writing (exporting) and reading (importing) .gexf files.
Features:
- Writing and reading GEXF files
- Writing dynamic graphs
- Writing graphs with attributes (boolean, numeric, char)
- Writing graphs with VIZ attributes (color, size, shape)
- Building GEXF graphs from scratch (node/edge by node/edge)
rgexf is written in such a way that it is not necessary to have knowledge about XML.
Some examples:
# Installing from CRAN and loading
install.packages("rgexf", dependencies=TRUE)
library(rgexf)
# Reading lesmiserables graph (and summarizing)
lesmiserables <- read.gexf("http://gephi.org/datasets/LesMiserables.gexf")
summary(lesmiserables)
# Building a GEXF class object (includes data frames of nodes/edges +
# XML representation of it) from two two-column data.frames
mygraph <- write.gexf(nodes=people, edges=relations)
# Exporting to some place
print(mygraph, output="mygraph.gexf", replace=TRUE)
# Creating a GEXF object from scratch (and adding a node)
mynewgraph <- new.gexf.graph()
mynewgraph <- add.gexf.nodes(mynewgraph, id=1, label="George")
The source code plus more examples can be found on the project website.
For suggestions, bug reports or support (any) ask me through Twitter @gvegayon or just write me an email to george [dot] vega [at] nodoschile [dot] org
George Vega Yon
