igraph

I have a network where I have characterised each of the nodes with previous analysis- and have assigned the colours as follows: plot.igraph(g, layout=layout.fruchterman.reingold(g), vertex.color=node_colors, vertex.label = node_names) The variable 'node_colors' is a vector that was made from previous analysis so that the colours would coincide with the vertex placement/ clustering. However when I try to implement a personalised colouring scheme in networkD3, I get an 'unused argument' error: data<-igraph_to_networkD3(g, group = members) forceNetwork(Links = data$links, Nodes = data$nodes,

Suppose you have an graph that you've made from an edgelist, and there are a couple hundred vertices. What I'm looking to do is to identify the initial set of vertices from which all subsequent ones are related to (like a mother, or family tree). This is a data set that represents 'ice islands', large tabular sheets of ice that break off from glaciers and float around the sea. The initial fractures represent the root nodes. The subsequent vertices are re-observations of these pieces that are either smaller (melted islands), or pieces that have broken off (so the source vertex has a network of

I have seen a few others posts relating to this game, but none of them was centered around the type of algorithm I've opted for, at least not in much details yet. This is also a pretense for me to learn more about graphs (such as with the igraph package). Needless to say, I don't encourage people to cheat in any situation. This is really a learning challenge I set for myself - it's often through those things I learn the most in the end. My plan involves some prep work besides the obvious collection of French dictionary . First big step was to construct an igraph that looks like this,

I'm trying to change the colour of the nodes dependent upon the month. At the moment, I've done it this way which isn't concise at all and wouldn't work for large datasets. Is there a better way of doing it? Data <- read.csv(.....) library(igraph) MartixData <- as.matrix(Data) NetworkData <- graph.adjacency(MatrixData, mode="directed", weighted=TRUE) V(NetworkData) V(NetworkData)$month <- c("June", "July", "July", "February", "September", "June", "September", "June", "December", "September", "March", "April", "September") plot(NetworkData, layout=layout.circle, vertex.color=c("yellow", "red",