Conspirador Norteño • 36 implied HN points • 27 Jun 25
- Repost network graphs are helpful to understand how ideas spread on social media, especially on platforms like Bluesky. You can visualize how hashtags or posts gain popularity and interaction.
- You can create these graphs from datasets of reposts and original posts, using Python to handle the data. This allows researchers to analyze which accounts are most influential in sharing content.
- Different types of conversations on social media can create unique patterns in these graphs. For instance, debates might lead to clusters of accounts, while friendly interactions could show a more unified graph with fewer divisions.