Map Creator Communities for a Short-Form Video Platform
Overview
What this challenge is about.
Run community detection on 4M creator interactions, map top 20 communities by size and density, and earn a verifiable certificate.
The scenario
The platform (Series D, around 1,200 staff, ad-revenue model) is bleeding mid-tier creators to a competitor that pays better; the head of creator monetization needs a defensible map of where to spend outreach budget first.
The Brief
What you'll do, and what you'll demonstrate.
Map the platform's creator-community structure and recommend the top three communities to prioritize for monetization outreach.
Earning criteria — what you'll demonstrate
- Build and analyze a real-world social-interaction graph
- Apply community-detection algorithms and validate their output
- Visualize a large graph at a stakeholder-readable density
- Translate network insights into product recommendations
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Network Analysis
Apply network analysis to solve real industry problems and demonstrate production-level capability.
- Community Detection
Apply community detection to solve real industry problems and demonstrate production-level capability.
- Graph Visualization
Apply graph visualization to solve real industry problems and demonstrate production-level capability.
- Social Media Analytics
Apply social media analytics to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Data Storytelling
Apply data storytelling to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
Data Scientist
Producing a community map plus a written stakeholder memo is exactly the day-to-day work of a data scientist on a creator or social-platform team.
This challenge sharpens
- network-analysis
- community-detection
- data-storytelling
AI Product Manager
Translating network structure into a prioritized monetization plan is the kind of analytical lift AI PMs run with their DS partners.
This challenge sharpens
- social-media-analytics
- data-storytelling
- community-detection
Applied AI Scientist
Applying community-detection methods to a real product question with traceable recommendations is core applied-AI scientist work.
This challenge sharpens
- network-analysis
- community-detection
- graph-visualization