Transitivity
In this exercise you will compute the network's transitivity, or clustering coefficient, both on the node level and on the global level.
This exercise is part of the course
Predictive Analytics using Networked Data in R
Exercise instructions
- Extract the transitivity of each node in the network using the
transitivity()function and add it to thenetworkobject as a node attribute calledtransitivity. - Make sure you use the type
local. - To avoid NA values, specify that isolated nodes should get the value
zero. - Compute the global transitivity of the network using the function
transitivity().
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Extract the local transitivity
___(___)$transitivity <- ___(network, type=___, isolates='zero')
# Compute the network's transitivity
___(network)