igraph

I have the following code to plot the minimum spanning tree of a graph ## g is an igraph graph mst = minimum.spanning.tree(g) E(g)$color <- "SkyBlue2" ## how to I make mst a different color E(g)[E(mst)]$color = "red" ### <---- I WANT TO DO ESSENTIALLY THIS plot(g, edge.label=E(g)$weight) That is, for a simple graph, I find the mst. I want to change the mst to red and plot the mst as part of the main graph. To do this, I want to select the edges of g that are also in mst . How do I do this? UPDATE: More generally, I have a graph g0 which is the mst of g , which has n vertices. It was

I'm trying to plot a graph with R and igraph, using a mix of shapes and raster images for the vertices. I've modified the igraph example below to reproduce my problem. Can someone see what is wrong? You'll need a png file to test the script. library(png) library(igraph) img.1 <- readPNG(system.file("img", "Rlogo.png", package="png")) shapes <- setdiff(shapes(), "") g <- make_ring(length(shapes)) V(g)$shape <- shapes #change the rectangle variants to raster V(g)$shape[grepl("rect",V(g)$shape)] <- "raster" #give every vertex the same image, regardless of shape V(g)$raster <- replicate(vcount(g),

Hi this is a question which i am not sure how to frame. I am running R from a remote server. My access to the remote server is via ssh@username and so on. After i access i have a command prompt which i invoke R and i am comfortable working on R. Question 1 I have a large network (100k nodes) and would like to do community detection and would like to run it in the background such that if i close my terminal its keeps running until its finished saves the result in my R working directory. I have tried using nohup R & but i am not sure the process completed successful. Question 2 If i manage to

I am using the following command for the installation of igraph package of R in ubuntu : install.packages("igraph") But I am getting an error saying: Warning: unable to access index for repository http://ftp.iitm.ac.in/cran/src/contrib : cannot open URL ' http://ftp.iitm.ac.in/cran/src/contrib/PACKAGES ' Warning messages: package ‘igraph’ is not available (for R version 3.3.2) Can someone please guide regarding this problem, where I am going wrong in this... You probably want a binary package anyway, and I recently re-explained how to do this: The easiest way is something like this (and I am

I have some issue while adding vertex labels in a weighted igraph working with R. The data frame of the graph is: df <- read.table(text= "From, To, Weight A,B,1 B,C,2 B,F,3 C,D,5 B,F,4 C,D,6 D,E,7 E,B,8 E,B,9 E,C,10 E,F,11", sep=',',header=TRUE) # From To Weight # 1 A B 1 # 2 B C 2 # 3 B F 3 # 4 C D 5 # 5 B F 4 # 6 C D 6 # 7 D E 7 # 8 E B 8 # 9 E B 9 # 10 E C 10 # 11 E F 11 and I use : g<-graph.data.frame(df,directed = TRUE) plot(g) to plot the following graph : One can see that vertex labels (for example) from E to B are superimposed. (The same problem appears for vertex C-D and vertex B-F) I

I'm using the iGraph package in R to layout a network graph, and I would like to group the vertex coordinates based on attribute values. Similar to the answered question How to make grouped layout in igraph? , my question differs in that the nodes needn't be grouped by a community membership that was derived from a community detection algorithm. Rather, I want to layout with groups based on attribute values that are known in advance for each vertex. For example, if each vertex has an attribute "Master.Org", and there are ~10 to ~20 distinct values for Master.Org, then how can I layout the