Code | PKh
| |
Internal name | petster-catdog-household
| |
Name | Catster/dogster households | |
Availability | Dataset is available for download | |
Consistency check | Dataset passed all tests | |
Category | Online social network | |
Network format | Unipartite, undirected | |
Edge type | Unweighted, no multiple edges | |
Loops | Does not contain loops |
Size | n = | 333,111 |
Volume | m = | 2,643,012 |
Loop count | l = | 0 |
Wedge count | s = | 3,632,371,922 |
Claw count | z = | 23,388,679,165,241 |
Cross count | x = | 180,335,774,876,015,904 |
Triangle count | t = | 8,473,307 |
Square count | q = | 2,326,862,660 |
4-Tour count | T_{4} = | 33,149,674,992 |
Maximum degree | d_{max} = | 37,346 |
Average degree | d = | 15.868 7 |
Fill | p = | 5.006 51 × 10^{−5} |
Size of LCC | N = | 324,249 |
Diameter | δ = | 12 |
50-Percentile effective diameter | δ_{0.5} = | 3.148 82 |
90-Percentile effective diameter | δ_{0.9} = | 4.855 40 |
Mean distance | δ_{m} = | 3.848 92 |
Gini coefficient | G = | 0.725 897 |
Balanced inequality ratio | P = | 0.222 510 |
Relative edge distribution entropy | H_{er} = | 0.867 427 |
Power law exponent | γ = | 1.575 53 |
Tail power law exponent | γ_{t} = | 2.251 00 |
Degree assortativity | ρ = | −0.071 151 3 |
Degree assortativity p-value | p_{ρ} = | 0.000 00 |
Clustering coefficient | c = | 0.006 998 16 |
Spectral norm | α = | 308.337 |
Non-bipartivity | b_{A} = | 0.092 113 5 |
Normalized non-bipartivity | b_{N} = | 0.048 055 4 |
Spectral bipartite frustration | b_{K} = | 0.001 279 87 |
[1] | Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ] |