Catster households


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


Size n =105,138
Volume m =494,858
Wedge count s =1,805,021,303
Claw count z =18,364,455,897,295
Cross count x =162,772,677,444,775,328
Triangle count t =2,305,753
Square count q =1,295,382,806
4-Tour count T4 =17,584,137,376
Maximum degree dmax =37,346
Average degree d =9.413 49
Fill p =0.000 208 753
Size of LCC N =68,315
Diameter δ =10
50-Percentile effective diameter δ0.5 =2.101 03
90-Percentile effective diameter δ0.9 =2.926 02
Median distance δM =3
Mean distance δm =2.616 64
Gini coefficient G =0.729 337
Relative edge distribution entropy Her =0.815 099
Power law exponent γ =1.617 67
Tail power law exponent γt =2.271 00
Degree assortativity ρ =−0.133 905
Degree assortativity p-value pρ =0.000 00
Clustering coefficient c =0.003 832 23
Spectral norm α =308.337
Algebraic connectivity a =0.083 453 2
Non-bipartivity bA =0.092 113 5


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

Delaunay graph drawing

Clustering coefficient distribution

Average neighbor degree distribution

Matrix decompositions plots



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]