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ia-reality     (Interaction Networks)

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This network is in the collection of Interaction Networks

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CategorySparse networks, temporal networks
CollectionInteraction networks
Vertex typePerson
Edge typeCall
Edge weightsMultiple unweighted edges
MetadataTime (edges have timestamps)
DescriptionReality mining network data consists of human mobile phone call events between a small set of core users at the Massachusetts Institute of Technology (MIT) whom actually were assigned mobile phones for which all calls were collected. The data also contains calls from users outside this small set of users to other phones of individuals that were not actively monitored and thus these nodes generally have fewer edges than nodes within the small set of users at MIT that participated in the experiment and were assigned phones. The data was collected collected by the Reality Mining experiment performed in 2004 as part of the Reality Commons project. The data was collected over 9 months using 100 mobile phones. A node represents a person; an edge indicates a phone call or voicemail between two users. See http://realitycommons.media.mit.edu/realitymining.html for more details.

Citing the repository in published materials

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

     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},

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.

     title={Reality mining: sensing complex social systems},
     author={Eagle, N. and Pentland, A.},
     journal={Personal and Ubiquitous Computing},

Network Statistics

Maximum degree261
Minimum degree1
Average degree2
Number of triangles1.2K
Average number of triangles0
Maximum number of triangles52
Average clustering coefficient0.0177709
Fraction of closed triangles0.00240715
Maximum k-core6
Lower bound of Maximum Clique5

Data Preview

Interactive visualization of ia-reality'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.
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Interactive Visualization of Node-level Feature Distributions

Node-level Feature Distributions

degree distribution


degree CDF


degree CCDF


kcore distribution


kcore CDF


kcore CCDF


triangle distribution


triangle CDF


triangle CCDF


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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