Case study example of a graph model in R

Let’s learn to build a GCM in R using a toy social_media_data dataset, which you can download from the Git repository. It contains simulated social media user interactions and demographics. Here are the columns in the data:

1. userA: A unique identifier for a social media user (presumably the influencer or content creator).
2. userB: A unique identifier for another user (a follower or another influencer).
3. num_post_likes: The number of likes a post has received.
4. num_post_commented: The number of comments a post has received.
5. interests: The categories of shared interests that userB and userA might have, such as art, design, technology, and so on.
6. follows: A Boolean indicating whether userB follows userA.
7. hours_active_perday: The number of hours per day userB is active on social media.
8. probability_to_like: The likelihood that userB will like a post, expressed as a probability.
9. probability_to_comment: The...