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ia-reality-call     (Dynamic Networks)

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This network is in the collection of Dynamic Networks





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Metadata

CategorySparse networks, temporal networks
CollectionInteraction networks
Tags
Sourcehttp://realitycommons.media.mit.edu/realitymining.html
Shortuser-calls-user
Vertex typePerson
Edge typeCall
FormatUndirected
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:

@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{eagle2006reality,
     title={Reality mining: sensing complex social systems},
     author={Eagle, N. and Pentland, A.},
     journal={Personal and Ubiquitous Computing},
     volume={10},
     number={4},
     pages={255--268},
     year={2006},
}

Network Statistics

Nodes6.8K
Edges51.2K
Density0.00221103
Maximum degree3K
Minimum degree1
Average degree15
Assortativity-0.315687
Number of triangles923.7K
Average number of triangles135
Maximum number of triangles97.3K
Average clustering coefficient0.362203
Fraction of closed triangles0.0299949
Maximum k-core967
Lower bound of Maximum Clique116

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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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