Compute the in-degree scores
In a retweet network, the in-degree of a user indicates the number of times the user's posts are retweeted.
Users with high in-degrees are influential as their tweets are retweeted many times.
In this exercise, you will identify users who can be used to initiate branding messages of a travel portal.
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
- Compute in-degree scores from the retweet network.
- Sort the in-degree scores in decreasing order.
- View users with the top 10 in-degree scores.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Compute the in-degree scores from the retweet network
in_degree <- ___(___, mode = c("___"))
# Sort the in-degree scores in decreasing order
in_degree_sort <- ___(___, decreasing = ___)
# View users with the top 10 in-degree scores
___[1:10]