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Using randomizations to assess assortativity

In this exercise you will determine how likely the observed assortativity in the friendship network is given the genders of vertices by performing a randomization procedure. You will randomly permute the gender of vertices in the network 1000 times and recalculate the assortativity for each random network.

Bu egzersiz

Network Analysis in R

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

  • Use assortativity() to calculate the assortativity of the graph object g1 based on gender using the object values calculated in the previous exercise, and assign this to the object observed.assortativity.
  • Inside the for loop calculate the assortativity of the network g1 using assortativity() while randomly permuting the object values each time with sample().
  • Plot the distribution of assortativity values from this permutation procedure using hist() and add a red vertical line for the original g1 network observed assortativity value that is stored in observed.assortativity.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Calculate the observed assortativity
observed.assortativity <- ___(g1, values)

# Calculate the assortativity of the network randomizing the gender attribute 1000 times
results <- vector('list', 1000)
for(i in 1:1000){
  results[[i]] <- ___(g1, sample(___))
}

# Plot the distribution of assortativity values and add a red vertical line at the original observed value
___(unlist(results))
abline(v = ___, col = "red", lty = 3, lwd=2)
Kodu Düzenle ve Çalıştır