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ia-escorts-dynamic     (Dynamic Networks)

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This network is in the collection of Dynamic Networks





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Metadata

ShortSexual escorts
Vertex typeBuyer, escort
Edge typeRating
FormatBipartite
Edge weightsMultigraph, weighted
DescriptionThis network is a bipartite graph of sex buyers and their escorts. Nodes are buyers and escorts and an edge denotes sexual intercourse between a male sex-buyer and a female escort. Edges are weighted with the rating of the escort given by the buyer. The possible ratings are: bad (−1), neutral (0), good (+1). Each row represents an edge and the data in each row is space-delimited. The third column represents the rating for that edge and the fourth column represents the timestamp of the edge.

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{escortsRocha2010,
     author = {Rocha, Luis E. C. and Liljeros, Fredrik and Holme, Petter},
     journal = {Proc. of the National Academy of Sciences},
     number = 13,      pages = {5706--5711},
     title = {Information Dynamics Shape the Sexual Networks of {Internet}-mediated Prostitution},
     volume = 107,      year = 2010}

Network Statistics

Nodes10.1K
Edges50.6K
Density0.000991352
Maximum degree616
Minimum degree1
Average degree10
Assortativity-0.0625723
Number of triangles23.4K
Average number of triangles2
Maximum number of triangles2.8K
Average clustering coefficient0.0117455
Fraction of closed triangles0.00790434
Maximum k-core42
Lower bound of Maximum Clique4

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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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