Hyves

This is the social network of Hyves, a Dutch online social network. The network is undirected and unweighted.

Metadata

CodeHY
Internal namehyves
NameHyves
Data sourcehttp://socialcomputing.asu.edu/datasets/Hyves
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Online social network
Node meaningUser
Edge meaningFriendship
Network formatUnipartite, undirected
Edge typeUnweighted, no multiple edges
LoopsDoes not contain loops

Statistics

Size n =1,402,673
Volume m =2,777,419
Loop count l =0
Wedge count s =1,447,128,030
Claw count z =10,748,028,522,268
Cross count x =73,480,895,626,790,352
Triangle count t =752,401
Square count q =47,825,228
4-Tour count T4 =6,176,668,782
Maximum degree dmax =31,883
Average degree d =3.960 18
Fill p =2.823 31 × 10−6
Size of LCC N =1,402,673
Diameter δ =10
50-Percentile effective diameter δ0.5 =5.303 47
90-Percentile effective diameter δ0.9 =6.649 47
Median distance δM =6
Mean distance δm =5.755 60
Gini coefficient G =0.650 239
Balanced inequality ratio P =0.238 800
Relative edge distribution entropy Her =0.905 995
Power law exponent γ =2.658 00
Tail power law exponent γt =1.961 00
Degree assortativity ρ =−0.023 415 2
Degree assortativity p-value pρ =0.000 00
Clustering coefficient c =0.001 559 78
Spectral norm α =179.347
Non-bipartivity bA =0.001 090 33
Normalized non-bipartivity bN =0.020 659 5
Algebraic non-bipartivity χ =0.040 182 3
Spectral bipartite frustration bK =0.002 536 64

Plots

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 normalized adjacency matrix

Hop distribution

Clustering coefficient distribution

SynGraphy

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] R. Zafarani and H. Liu. Social computing data repository at ASU, 2009. [ http ]