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Cover image for Map Creator Communities for a Short-Form Video Platform
Analysis

Map Creator Communities for a Short-Form Video Platform

FreeVerified credential2 weeksIntermediate

Overview

What this challenge is about.

You receive a 90-day sample of about 4 million creator-creator interactions (duets, mentions, audience overlap) and creator metadata (region, language, content tag). Build a creator interaction graph, run community detection (Louvain or Leiden), and produce both an interactive visualization (Gephi or web-based) and a tabular summary of the top 20 communities by size, density, and engagement. Identify three monetization-relevant patterns. Deliver the map, the table, and a 4-page memo.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

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.

Skills

Skills you'll demonstrate.

Each one shows up on your verified credential.

Careers

Roles this prepares you for.

Real titles. Real skill bridges. Pick the one closest to your trajectory.

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

One more thing

You can put a credential on your CV by Friday.