Sexual escorts

This is the bipartite network of sex buyers and their escorts. Nodes are buyers and escorts. 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. Three ratings are possible: bad (−1), neutral (0), good (+1).

Metadata

CodeSX
Internal nameescorts
NameSexual escorts
Data sourcehttp://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1001109#s2
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Rating network
Node meaningBuyer, escort
Edge meaningRating
Network formatBipartite, undirected
Edge typeRatings, multiple edges
Temporal data Edges are annotated with timestamps

Statistics

Size n =16,730
Left size n1 =10,106
Right size n2 =6,624
Volume m =50,632
Unique edge count m̿ =39,044
Wedge count s =1,055,915
Claw count z =37,782,314
Cross count x =1,791,899,404
Square count q =231,440
4-Tour count T4 =6,155,912
Maximum degree dmax =615
Maximum left degree d1max =134
Maximum right degree d2max =615
Average degree d =6.052 84
Average left degree d1 =5.010 09
Average right degree d2 =7.643 72
Fill p =0.000 583 250
Average edge multiplicity m̃ =1.296 79
Size of LCC N =15,809
Diameter δ =17
50-Percentile effective diameter δ0.5 =5.294 13
90-Percentile effective diameter δ0.9 =7.201 57
Median distance δM =6
Mean distance δm =5.790 05
Gini coefficient G =0.595 016
Balanced inequality ratio P =0.274 370
Left balanced inequality ratio P1 =0.275 996
Right balanced inequality ratio P2 =0.234 428
Relative edge distribution entropy Her =0.910 952
Power law exponent γ =2.179 36
Tail power law exponent γt =2.871 00
Tail power law exponent with p γ3 =2.871 00
p-value p =0.329 000
Left tail power law exponent with p γ3,1 =4.401 00
Left p-value p1 =0.394 000
Right tail power law exponent with p γ3,2 =2.481 00
Right p-value p2 =0.005 000 00
Degree assortativity ρ =−0.043 192 1
Degree assortativity p-value pρ =1.362 27 × 10−17
Spectral norm α =622.383
Algebraic connectivity a =0.000 151 319
Spectral separation 1[A] / λ2[A]| =1.192 47
Negativity ζ =0.676 596
Algebraic conflict ξ =0.012 682 0
Spectral signed frustration φ =0.000 650 304
Controllability C =6,813
Relative controllability Cr =0.407 233

Plots

Fruchterman–Reingold graph drawing

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Double Laplacian graph drawing

Delaunay graph drawing

Item rating evolution

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop distribution

Diameter/density evolution

Signed temporal distribution

Rating class evolution

Inter-event distribution

Node-level inter-event distribution

Matrix decompositions plots

Downloads

References

[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Luis E. C. Rocha, Fredrik Liljeros, and Petter Holme. Information dynamics shape the sexual networks of Internet-mediated prostitution. Proc. Natl. Acad. Sci. U.S.A., 107(13):5706–5711, 2010.