degree {NetworkToolbox} | R Documentation |
Degree
Description
Computes degree of each node in a network
Usage
degree(A)
Arguments
A |
An adjacency matrix of network data |
Value
A vector of degree values for each node in the network.
If directed network, returns a list containing:
inDegree |
Degree of incoming edges (pointing to the node) |
outDegree |
Degree of outgoing edges (pointing away from the node) |
relInf |
Relative degree of incoming and outgoing edges. Positive values indicate more outgoing degree relative to incoming degree. Negative values indicate more incoming degree relative to outgoing degree |
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
References
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069.
Examples
#Undirected network
## Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A
deg <- degree(A)
#Directed network
## Not run:
dep <- depend(neoOpen)
Adep <- TMFG(dep, depend = TRUE)$A
deg <- degree(Adep)
## End(Not run)
[Package NetworkToolbox version 1.4.2 Index]