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 res
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
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
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'
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
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://fa
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 comp
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