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soc-friendster     (Massive Network Data)

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This network is in the collection of Massive Network Data





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Metadata

ShortFriendster: The online gaming social network
DescriptionThe dataset contains all links among users.

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{friendster,
     author = {Friendster social network},
     title = {Friendster: The online gaming social network},
     note = {{https://archive.org/details/friendster-dataset-201107}}}

Network Statistics

Nodes65.6M
Edges1.8B
Density8.39161e-07
Maximum degree5.2K
Minimum degree1
Average degree55
Assortativity-
Number of triangles12.5B
Average number of triangles190
Maximum number of triangles158K
Average clustering coefficient-
Fraction of closed triangles0.16
Maximum k-core305
Lower bound of Maximum Clique129

Data Preview

Interactive visualization of soc-friendster's graph structure

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Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

Visualize and interactively explore soc-friendster and its important node-level statistics!

  • 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
  • Zoom in/out on the visualization you created at any point by using the buttons below on the left.
  • Once a subset of interesting nodes are selected, the user may further analyze by selecting and drilling down on any of the interesting properties using the left menu below.
  • We also have tools for interactively visualizing, comparing, and exploring the graph-level properties and statistics.
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