Presentation

The idea for this dataset came from a simple question: "Can we study how Youtubers interact with sponsors ?".
So I decided to collect information myself on the videos of the 60 Best French Youtubers (without including VEVO or musician channels).

To identify sponsored videos, I decided afterwards to focus on those with a link in their description, which will help identify the main sponsors.

Special Columns :

page-title15Mars3.csv (This is the final dataset I was able to get)
yt-links : This includes the link visible in the description
long-links : Some of the links in the descriptions are "Bit.ly" links, which you need to open to find out about them. This column corresponds to the real link given each time.
page-name : Name of the sponsor (This is extracted mainly from the domain name of the links, but also sometimes from various details I've used from the description!)

test31MarsFINAL.xlsx (The formatted file for social network analysis with Gephi)

What can I do with this dataset?

• Graph visualization: The main objective when I collected this data was to make different visualizations, using calculations specific to social network analysis to extract insights from it. (I'll be writing a notebook soon to explain social network analysis and, above all, how to analyze this data).
• Deeper data cleaning: As I said, this dataset isn't completely perfect, and there may still be work to be done in this area!
• Time-based analysis: Analyze youtuber activity by time period