# Converts the given igraph object to GEXF format and saves it at the given filepath location
# g: input igraph object to be converted to gexf format
# filepath: file location where the output gexf file should be saved
#
saveAsGEXF = function(g, filepath="converted_graph.gexf")
{
require(igraph)
require(rgexf)
# gexf nodes require two column data frame (id, label)
# check if the input vertices has label already present
# if not, just have the ids themselves as the label
if(is.null(V(g)$label))
V(g)$label <- as.character(V(g))
# similarily if edges does not have weight, add default 1 weight
if(is.null(E(g)$weight))
E(g)$weight <- rep.int(1, ecount(g))
nodes <- data.frame(cbind(V(g), V(g)$label))
edges <- t(Vectorize(get.edge, vectorize.args='id')(g, 1:ecount(g)))
# combine all node attributes into a matrix (and take care of & for xml)
vAttrNames <- setdiff(list.vertex.attributes(g), "label")
nodesAtt <- data.frame(sapply(vAttrNames, function(attr) sub("&", "&",get.vertex.attribute(g, attr))))
# combine all edge attributes into a matrix (and take care of & for xml)
eAttrNames <- setdiff(list.edge.attributes(g), "weight")
edgesAtt <- data.frame(sapply(eAttrNames, function(attr) sub("&", "&",get.edge.attribute(g, attr))))
# combine all graph attributes into a meta-data
graphAtt <- sapply(list.graph.attributes(g), function(attr) sub("&", "&",get.graph.attribute(g, attr)))
# generate the gexf object
output <- write.gexf(nodes, edges,
edgesWeight=E(g)$weight,
edgesAtt = edgesAtt,
nodesAtt = nodesAtt,
meta=c(list(creator="Gopalakrishna Palem", description="igraph -> gexf converted file", keywords="igraph, gexf, R, rgexf"), graphAtt))
print(output, filepath, replace=T)
}
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