movielens_100k — MovieLens 10M tag assignments (2005-2009)
- Description
A bipartite network of the tags that users of the online movie recommender service MovieLens applied to movies, from the MovieLens 10M data set released by GroupLens Research (University of Minnesota) in January 2009. MovieLens users can annotate movies with free-text tags, typically a single word or short phrase whose meaning is determined by the user. The data set contains 95,580 tag applications made between December 2005 and January 2009 by 4,009 users, who were selected at random (all selected users had rated at least 20 movies) and anonymized. Each node is a tag (a distinct tag string, case-sensitive) or a movie, and each edge is one application of the tag to the movie by some user, so that the same tag applied to the same movie by several users appears as multiple edges. Only movies that received at least one tag are included. (Despite the entry's name, these data are not from the MovieLens 100K data set, which contains no tags.)
The network has the following properties:
- Nodes:
is_tag, whether the node is a tag (otherwise it is a movie);name, the tag string, or the title of the movie (including its year of release, as entered in MovieLens);movie_id, the MovieLens movie id (-1 for tags);genres, the list of genres of the movie. - Edges:
user, the anonymized id of the user who applied the tag;time, the time when the tag was applied, as Unix time.
The files of this entry are available only with an access token, since the MovieLens license forbids redistributing the data without permission.
- Nodes:
- Tags
- Informational Folksonomy Unweighted Multigraph Timestamps Metadata
- Citation
-
- F. M. Harper, J. A. Konstan, "The MovieLens Datasets: History and Context." ACM Transactions on Interactive Intelligent Systems 5(4), 19 (2015) 10.1145/2827872 Sci-Hub
- Upstream URL OK
- https://grouplens.org/datasets/movielens/10m/
- Upstream license
- Restricted access. Upstream does not permit data redistribution, hence the network files cannot be downloaded without authorization. See here how to gain access.
- 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
- Ridiculograms*
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