Dogster households

Metadata

CodePDh
Internal namepetster-dog-household
NameDogster households
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Online social network
Network formatUnipartite, undirected
Edge typeUnweighted, no multiple edges
LoopsDoes not contain loops

Statistics

Size n =260,390
Volume m =2,148,179
Wedge count s =1,827,330,436
Claw count z =5,024,128,741,023
Cross count x =17,562,691,277,825,766
Triangle count t =6,167,553
Square count q =1,031,479,645
4-Tour count T4 =15,565,455,262
Maximum degree dmax =22,139
Average degree d =16.499 7
Fill p =6.549 25 × 10−5
Size of LCC N =255,968
Diameter δ =11
50-Percentile effective diameter δ0.5 =2.787 16
90-Percentile effective diameter δ0.9 =3.803 73
Mean distance δm =3.363 77
Gini coefficient G =0.723 604
Relative edge distribution entropy Her =0.872 048
Power law exponent γ =1.565 26
Tail power law exponent γt =2.271 00
Degree assortativity ρ =−0.095 252 8
Degree assortativity p-value pρ =0.000 00
Clustering coefficient c =0.010 125 5
Spectral norm α =290.209
Non-bipartivity bA =0.454 941
Normalized non-bipartivity bN =0.076 116 3

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 Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Hop distribution

Clustering coefficient 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 ]