This function calculates the degree and strength of a node.

The options are:

• edgelist, required
• measure, default=measure=c("degree", "output")
• self.loops, default=FALSE
• type, default="out", this means that the out-degree and out-strength is calculated. You can get the in-degree by writing type="in". For undirected networks, this option has no effect.

To calculate, write the following:

degree_w(edgelist)

Example 1: Degree using random data created by rg_w()

## Load tnet
library(tnet) 

## Generate a directed random graph with 100 nodes, 300 edges.
rg <- rg_w(nodes=10, arcs=30, directed=TRUE, seed=1)

## Run the function
degree_w(rg)

      vertex degree output 
 [1,]      1      2     11  
 [2,]      2      2      8  
 [3,]      3      5     30 
 [4,]      4      5     32 
 [5,]      5      2     10  
 [6,]      6      2      7  
 [7,]      7      4     20  
 [8,]      8      3     15  
 [9,]      9      2     14  
[10,]     10      3     21  

The first column is the vertex id, the second colum is the degree, and the third column is the strength.

Example 2: Sample data

## Load tnet
library(tnet) 

## Sample data
sample <- rbind(
c(1,2,4),
c(1,3,2),
c(2,1,4),
c(2,3,4),
c(2,4,1),
c(2,5,2),
c(3,1,2),
c(3,2,4),
c(4,2,1),
c(5,2,2),
c(5,6,1),
c(6,5,1))

## Run the function
degree_w(sample)

     vertex degree output 
[1,]      1      2      6 
[2,]      2      4     11 
[3,]      3      2      6 
[4,]      4      1      1 
[5,]      5      2      3 
[6,]      6      1      1