Code | WT
| |
Internal name | trec-wt10g
| |
Name | TREC WT10g | |
Data source | http://ir.dcs.gla.ac.uk/test_collections/access_to_data.html | |
Availability | Dataset is available for download | |
Consistency check | Dataset passed all tests | |
Category | Hyperlink network | |
Network format | Unipartite, directed | |
Edge type | Unweighted, no multiple edges | |
Reciprocal | Contains reciprocal edges | |
Directed cycles | Contains directed cycles | |
Loops | Does not contain loops |
Size | n = | 1,601,787 |
Volume | m = | 8,063,026 |
Wedge count | s = | 4,375,162,265 |
Claw count | z = | 17,206,337,249,825 |
Cross count | x = | 84,325,207,721,815,904 |
Triangle count | t = | 21,071,515 |
Square count | q = | 12,596,865,743 |
4-Tour count | T_{4} = | 118,288,933,500 |
Maximum degree | d_{max} = | 25,663 |
Maximum outdegree | d^{+}_{max} = | 25,604 |
Maximum indegree | d^{−}_{max} = | 7,237 |
Average degree | d = | 10.067 5 |
Fill | p = | 3.142 60 × 10^{−6} |
Size of LCC | N = | 1,458,316 |
Size of LSCC | N_{s} = | 470,441 |
Relative size of LSCC | N^{r}_{s} = | 0.293 698 |
Diameter | δ = | 112 |
50-Percentile effective diameter | δ_{0.5} = | 7.911 05 |
90-Percentile effective diameter | δ_{0.9} = | 11.104 7 |
Mean distance | δ_{m} = | 8.703 68 |
Gini coefficient | G = | 0.637 390 |
Relative edge distribution entropy | H_{er} = | 0.912 734 |
Power law exponent | γ = | 1.744 92 |
Tail power law exponent | γ_{t} = | 2.231 00 |
Degree assortativity | ρ = | −0.057 003 6 |
Degree assortativity p-value | p_{ρ} = | 0.000 00 |
In/outdegree correlation | ρ^{±} = | +0.397 732 |
Clustering coefficient | c = | 0.014 448 5 |
Spectral norm | α = | 349.929 |
Operator 2-norm | ν = | 336.756 |
Cyclic eigenvalue | π = | 89.433 7 |
Algebraic connectivity | a = | 0.000 162 332 |
Reciprocity | y = | 0.343 240 |
Non-bipartivity | b_{A} = | 0.043 241 4 |
Normalized non-bipartivity | b_{N} = | 0.000 182 942 |
[1] | Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ] |
[2] | Peter Bailey, Nick Craswell, and David Hawking. Engineering a multi-purpose test collection for Web retrieval experiments. Inf. Process. and Manag., 39(6):853–871, 2003. |