Analyzing Social Media Networks - Everyday Learning

What this episode covers

This podcast explores how NFT-related conversations on social media can be transformed into knowledge graphs using Neo4j to reveal hidden connections and insights. It discusses graph data modeling, social network analysis, entity relationships, and techniques for understanding trends within NFT communities. Perfect for blockchain enthusiasts, data scientists, graph database practitioners, and anyone interested in analyzing digital communities through connected data.

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Frequently Asked Questions

How long is this episode of Everyday Learning?

This episode is 40 minutes long.

When was this Everyday Learning episode published?

This episode was published on April 14, 2021.

What is this episode about?

This podcast explores how NFT-related conversations on social media can be transformed into knowledge graphs using Neo4j to reveal hidden connections and insights. It discusses graph data modeling, social network analysis, entity relationships, and...

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Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.