LastFM User Friendship Network in Asia

A social network graph captures friendships between users of the Last.fm music platform in Asia. The dataset's exact scale is unspecified but originates from the UCI Machine Learning Repository, a known source for benchmark data. It was likely compiled from public Last.fm API data to study online community structures.

Use Cases

• Apply community detection algorithms on the friendship graph to identify distinct user clusters or subcultures.
• Model information diffusion or influence spread across the Asian LastFM user network.
• Analyze network properties like degree distribution, clustering coefficient, and centrality to characterize the social structure.
• Correlate user listening history (a common LastFM feature) with their position in the friendship network to study homophily.

Strengths

• Represents real-world social connections from a major music platform, providing authentic network data.
• Hosted on the UCI repository, which implies a degree of curation and validation for research use.

Limitations

• The number of nodes (users) and edges (friendships) is unknown, making it difficult to assess computational requirements.
• Specific temporal coverage and data collection date are not provided, potentially limiting analysis of network evolution.
• Lack of documented user attributes or listening data restricts analysis to purely structural network properties.

Provenance

Source

UCI Machine Learning Repository

Collection Method

Likely collected via the Last.fm public API, capturing user-defined friend connections.

Geography

Asia