Compute heterophilicity
Similar to dyadicity, heterophilicity is the ratio between the actual number of mixed label edges and the expected number of mixed label edges. In this exercise, you will compute the network's heterophilicity.
For the expected number of mixed edges, use the formula \(n_ {NC}\cdot n_ {C}\cdot p\) where \(n_ {NC}\) is the number of non-churners, \(n_ {C}\) is the number of churners and p is the connectance.
You can use the variables NonChurnNodes, ChurnNodes, connectance, and MixedEdges.
Diese Übung ist Teil des Kurses
Predictive Analytics using Networked Data in R
Anleitung zur Übung
- Compute the expected number of mixed edges and assign it to the variable
ExpectedHet. - Compute the heterophilicity by dividing the actual number of mixed edges with the expected number of mixed edges. Call this variable Het.
- Is the network heterophilic? Inspect
Hetto find out.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Compute the expected heterophilicity
ExpectedHet <- ___ * ___ * ___
# Compute the heterophilicity
Het <- ___ / ___
# Inspect the heterophilicity
___