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ia-movielens-user2tags-10m     (Dynamic Networks)

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This network dataset is in the category of Dynamic Networks



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Metadata

CategorySparse Networks
CollectionInteraction Networks
Tags
ShortUser-tag network
Vertex typeUser, tag
Edge typeAssignment
FormatBipartite
Edge weightsMultigraph, unweighted
MetadataTime
DescriptionBipartite network of the tagging behavior of MovieLens users (http://movielens.umn.edu/). Nodes in the first column are users and the nodes in the second column represent tags. Third column represents the weight of an edge and the fourth column is the timestamp of an edge. Edges connect users with a tag they applied to a movie.

Please cite the following if you use the data:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={AAAI},
     url={https://networkrepository.com},
     year={2015}
}

Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.

@misc{movielens-user2tags-10m,
     author = {GroupLens Research},
     title = {{MovieLens} Data Sets},
     month = {Oct.},
     year = {2006}}

Network Data Statistics

Nodes16.5K
Edges95.6K
Density0.000699777
Maximum degree6K
Minimum degree1
Average degree11
Assortativity-0.177264
Number of triangles453.4K
Average number of triangles27
Maximum number of triangles55.1K
Average clustering coefficient0.0686937
Fraction of closed triangles0.00636504
Maximum k-core641
Lower bound of Maximum Clique21

Network Data Preview

Interactive visualization of ia-movielens-user2tags-10m's graph structure

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Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

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  • Each point represents a node (vertex) in the graph.
  • A subset of interesting nodes may be selected and their properties may be visualized across all node-level statistics. To select a subset of nodes, hold down the left mouse button while dragging the mouse in any direction until the nodes of interest are highlighted.This feature allows users to explore and analyze various subsets of nodes and their important interesting statistics and properties to gain insights into the graph data
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Interactive Visualization of Node-level Feature Distributions

Node-level Feature Distributions

degree distribution

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degree CDF

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degree CCDF

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kcore distribution

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kcore CDF

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kcore CCDF

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triangle distribution

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triangle CDF

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triangle CCDF

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All visualizations and analytics are interactive and flexible for exploratory analysis and data mining in real-time and include the following features:

  • Degree, k-core, triangles, and triangle-core distributions. We include plots for each of the fundamental graph features and counts of the number with a particular property (i.e., number of nodes that form k triangles or have degree k, etc.)
  • We also include the CDF and CCDF distributions for each graph in the collection.
  • All visualizations and plots are zoomable. One may zoom-in or out on the data visualization using scrolling.
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