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Calculate the betweenness scores

Betweenness centrality represents the degree to which nodes stand between each other.

In a retweet network, a user with a high betweenness centrality score would have more control over the network because more information will pass through the user.

Can you identify users who are central to people who retweet the most and those whose tweets are retweeted frequently?

The retweet network on #travel has been pre-loaded as nw_rtweet.

The library igraph has been pre-loaded for this exercise.

Cet exercice fait partie du cours

Analyzing Social Media Data in R

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Instructions

  • Calculate betweenness scores from the retweet network.
  • Sort the betweenness scores in decreasing order and round the values.
  • View users with the top 10 betweenness scores.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Calculate the betweenness scores from the retweet network
betwn_nw <- ___(___, directed = ___)

# Sort betweenness scores in decreasing order and round the values
betwn_nw_sort <- ___ %>%
                    sort(decreasing = ___) %>%
                    ___()

# View users with the top 10 betweenness scores 
betwn_nw_sort[1:10]
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