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Dear colleagues, I'm trying to have a look at the Assortative and Disassortative ( http://en.wikipedia.org/wiki/Assortative_mixing) of the network I have. But it seems that the igraph hasn't mentioned that yet. I have to get the in/out degree of the vertices of each edge and calculate the Pearson's Correlation coefficient which seems to be quite a huge task for me. :( So I wonder if

Hi friends, Is there anyone who happened to import data set in the "DL" format into R for further analysis? In the package of "network", there's only a method named "read.paj()". So now, I have to get the dl file from the original data set, and use UCINET to convert it to .net file. It's too complicated. :( In the package of "igraph", edgelist is

Hi all, Is there anyone who ever used igraph to calculate the index of "centralization" ? I tried my best but can't find it in igraph. The brief introduction to "centralization" can be found here , and I think it's an important index for measuring the centrality on the aggregated level.(http://faculty.ucr.edu/~hanneman/nettext/C10_Centrality.html) Thank you for any

Hi all, I have two networks for the same group of the users. I want to compare individual's degree in different networks. But how could I get the degrere of the nodes according to its name? When I use degree(g1), I could only get a vector of the degree of each node. But when I turn to g2, I don't know whose degree it is so I can't match it with the degree(g2). Now I'm trying to

Dear all, I'm using igraph for some analysis about the network I have. I have a question about the function "power.law.fit". I wonder if there is any test for checking whether the "power.law.fit" is good for the input, i.e., under which situation, could we use this function to get a reliable result. I'm afraid even I input a random graph without any property of

Dear collegues, Is there anyone who ever used qqmath(). Actually, I want to know the distribution of the dependent varible. It's a count number, so it should be poisson or negative binomial distribution. But how could I use R to get the ë and á? Or to demonstrate the distribution to be negative binomial ? I tried my best to find the examples by google, but failed. Thank you for the

Dear colleagues, I'm trying to have a look at the Assortative and Disassortative( http://en.wikipedia.org/wiki/Assortative_mixing) of the network I have. But it seems that the igraph hasn't mentioned that yet. I have to get the in/out degree of the vertices of each edge and calculate the Pearson's Correlation coefficient which seems to be quite a huge task for me. :( So I wonder if