1
$\begingroup$

I have an edge list object weighted by a correlation value. I would like to know the changes in the node's connectivity on a continuous scale.

In other words, how does the node connectivity differ from the edge weight scale (-1) to the edge weight (+1)? I would like to know how to do this or whether any R package or statistical model could solve the problems etc.

I would like to know whether node connectivity increases or decreases in relation to the correlation weight. I.e. how it looks at the correlation between node degree and edge weight. But I don't know how to do it.

A example edge list object is created in the code below.

data <- structure(list(from = c(5L, 5L, 5L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 
                                2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), 
                       to = c(1L, 2L, 3L, 5L, 4L, 2L, 3L, 1L, 2L, 3L, 5L, 1L, 4L, 3L, 5L, 1L, 4L, 2L), 
                   weight = c(runif(18, -1,1))), 
                  row.names = c(NA, -18L), 
                  class = "data.frame")

I appreciate your help!! Best, Amare

Improve this question
$\endgroup$
1
  • $\begingroup$ if I understand correctly, something like, "do nodes with higher UNWEIGHTED degree also tend to have higher weight on their edges?" $\endgroup$
    – Maximilian Press
    Jan 25 at 0:47

0

Reset to default

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.