lastfm_360k — Last.fm users and their top artists (2008)
- Description
A bipartite network of the users of the music website Last.fm and the artists they listened to, collected by Òscar Celma in 2008 through the Last.fm API. For each of about 360,000 users, the data give the artists most listened to by the user (up to about 50), with the number of plays of each. Each node is a user or an artist, and an edge connects a user to an artist among the user's top artists, weighted by the number of plays.
The artists are identified by their MusicBrainz identifiers (MBID), or, for the artists without one, by their names as given (so that the same artist may appear under different spellings, and several artists with the same name are merged). An artist with an MBID that appears with several names is named after its first occurrence.
The network has the following properties:
- (Node)
name: the anonymous identifier of the user (a SHA-1 hash), or the name of the artist. - (Node)
is_user: whether the node is a user (otherwise an artist). - (Node)
mbid: the MusicBrainz identifier of the artist (empty for users and for artists without one). - (Node)
gender: the gender of the user (m,f, or empty if not given; empty for artists). - (Node)
age: the age of the user (-1 if not given, and for artists). - (Node)
country: the country of the user (empty if not given, and for artists). - (Node)
signup: the date of registration of the user, in Unix time (-1 if not given, and for artists). - (Edge)
weight: the number of plays of the artist by the user.
- (Node)
- Tags
- Social Online Preferences Bipartite Weighted Metadata
- Added
- 2026-10-28
- Citation
-
- Ò. Celma, "Music Recommendation and Discovery: The Long Tail, Long Fail, and Long Play in the Digital Music Space." Springer (2010) 10.1007/978-3-642-13287-2 Sci-Hub
- Upstream URL OK
- https://www.upf.edu/web/mtg/lastfm360k
- Upstream license
- Non-commercial use (distributed with permission of Last.fm), https://www.upf.edu/web/mtg/lastfm360k
- Networks
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Tip: hover over a column header for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv lastfm_360k 628,124 17,559,530 55.91 458.13 689.40 7.20 -0.16 0.00 10 1.00 Undirected Bipartite name is_user mbid gender age country signup weight 60.8 MiB 105.1 MiB 104.6 MiB 108.1 MiB