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Reality Mining

About this network

This undirected network contains human contact data among 100 students of the Massachusetts Institute of Technology (MIT), 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 that the corresponding nodes had physical contact.

Network info

CodeRM
Category HumanContact
Data source http://realitycommons.media.mit.edu/realitymining.html
Vertex type Person
Edge type Contact
FormatUndirected: Edges are undirected Undirected
Edge weightsMultiple unweighted: Multiple edges are possible Multiple unweighted
Metadata Timestamps:  Edges are annotated with a timestamps Timestamps
Size96 vertices (persons)
Volume1,086,404 edges (contacts)
Unique volume2,539 edges (contacts)
Average degree22633. edges / vertex
Fill0.55680 edges / vertex2
Maximum degree98,257 edges
Size of LCC96 vertices (network is connected)
Wedge count149,335
Claw count3,073,975
Triangle count36,108
Square count1,534,878
4-tour count12,881,442
Power law exponent (estimated) with dmin2.6110 (dmin = 31)
Gini coefficient48.8%
Relative edge distribution entropy98.3%
Assortativity–0.055486
Clustering coefficient72.5%
Diameter3 edges
90-percentile effective diameter1.73 edges
Mean shortest path length1.36 edges
Spectral norm61802.
Algebraic connectivity4.0410
Preferential attachment exponent1.5315 (ε = 32.301)
Temporal distribution of the Reality Mining network
Temporal distribution
Edge multiplicity distribution of the Reality Mining network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Reality Mining network
Cumulative edge multiplicity distribution
Degree distribution of the Reality Mining network
Degree distribution
Degree distribution of the Reality Mining network
Degree distribution
Degree distribution of the Reality Mining network
Degree distribution
Clustering coefficient distribution of the Reality Mining network
Clustering coefficient distribution
Distance distribution of the Reality Mining network
Distance distribution
Distance distribution on a logistic scale of the Reality Mining network
Distance distribution on a logistic scale
Temporal distance distribution of the Reality Mining network
Temporal distance distribution
Top-k eigenvalues of A of the Reality Mining network
Top-k eigenvalues of A
Top-k eigenvalues of N of the Reality Mining network
Top-k eigenvalues of N
Top-k eigenvalues of L of the Reality Mining network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Reality Mining network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Reality Mining network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Reality Mining network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Reality Mining network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Reality Mining network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Reality Mining network
Cumulative spectral distribution of L
Eigenvectors of A of the Reality Mining network
Eigenvectors of A
Eigenvectors of N of the Reality Mining network
Eigenvectors of N
Eigenvectors of L of the Reality Mining network
Eigenvectors of L

Layout

Layout of the Reality Mining network
Layout

Downloads

TSV file:downloadmit.tar.bz2 (1.07 MiB)

References

[1] Reality mining network dataset -- KONECT, April 2017. [ http ]
[2] Nathan Eagle and Alex (Sandy) Pentland. Reality Mining: Sensing complex social systems. Personal Ubiquitous Computing, 10(4):255--268, 2006.

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