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.
This exercise is part of the course
Analyzing Social Media Data in R
Exercise 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.
Hands-on interactive exercise
Have a go at this exercise by completing this sample 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]