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socfb-CMU     (Facebook Networks)

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This network is in the collection of Facebook Networks





Visualize socfb-CMU's link structure and discover valuable insights using our interactive graph visualization platform. Compare with hundreds of other networks across many different collections and types.

Metadata

CategorySparse networks
CollectionFacebook networks
Tags
ShortFacebook social network
Vertex typePerson
Edge typeFriendship, social relationship
FormatUndirected
Edge weightsUnweighted
DescriptionA social friendship network extracted from Facebook consisting of people (nodes) with edges representing friendship ties.

Citing the repository in published materials

If you find Network Repository useful for your research, please consider citing the following paper:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
     url={http://networkrepository.com},
     year={2015}
}

Note that if you transform/preprocess this data for your own research, we ask that you please share the data by uploading it along with details on the transformation and reference to any published materials.

@article{traud2012social,
     title={Social structure of {F}acebook networks},
     author={Traud, Amanda L and Mucha, Peter J and Porter, Mason A},
     journal={Phys. A},
     month={Aug},
     number={16},
     pages={4165--4180},
     volume={391},
     year={2012}
}

@article{Traud:2011fs,
     title={Comparing Community Structure to Characteristics in Online Collegiate Social Networks},
     author={Traud, Amanda L and Kelsic, Eric D and Mucha, Peter J and Porter, Mason A},
     journal={SIAM Rev.},
     number={3},
     pages={526--543},
     volume={53},
     year={2011}
}

Network Statistics

Nodes6.6K
Edges250K
Density0.0114056
Maximum degree840
Minimum degree1
Average degree75
Assortativity0.122458
Number of triangles6.9M
Average number of triangles1K
Maximum number of triangles24.1K
Average clustering coefficient0.278772
Fraction of closed triangles0.185256
Maximum k-core70
Lower bound of Maximum Clique15

Data Preview

Interactive visualization of socfb-CMU's graph structure

Interactively explore the networks graph structure!

  • Use mouse wheel to zoom in/out
  • Mouseover nodes to see their degree
  • Drag network to see more details

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Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

Visualize and interactively explore socfb-CMU 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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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.
  • Panning. Users may also click anywhere on the plot and move the mouse in any direction to pan.
  • Adjust scale and other application dependent-parameters. All interactive visualizations may adjust the scale which is particularly important in certain types of graph data that contain highly skewed graph properties (power-lawed graphs and/or networks) such as degree distribution.

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