BookCrossing (ratings)
This is the bipartite book rating network of the BookCrossing community.
Rating values are integers between one and ten, where ten represents the best
score. An edge shows that a user has rated a book. Nodes in the left column are
users; nodes in the right column are books.
Metadata
Statistics
Size | n = | 263,757
|
Left size | n1 = | 77,802
|
Right size | n2 = | 185,955
|
Volume | m = | 433,652
|
Wedge count | s = | 80,944,469
|
Claw count | z = | 141,344,884,260
|
Cross count | x = | 268,754,486,843,948
|
Square count | q = | 1,457,330
|
4-Tour count | T4 = | 336,304,276
|
Maximum degree | dmax = | 8,524
|
Maximum left degree | d1max = | 8,524
|
Maximum right degree | d2max = | 707
|
Average degree | d = | 3.288 27
|
Average left degree | d1 = | 5.573 79
|
Average right degree | d2 = | 2.332 03
|
Fill | p = | 2.997 39 × 10−5
|
Size of LCC | N = | 229,137
|
Diameter | δ = | 23
|
50-Percentile effective diameter | δ0.5 = | 5.156 19
|
90-Percentile effective diameter | δ0.9 = | 6.923 03
|
Median distance | δM = | 6
|
Mean distance | δm = | 5.649 99
|
Gini coefficient | G = | 0.662 876
|
Balanced inequality ratio | P = | 0.237 367
|
Left balanced inequality ratio | P1 = | 0.199 243
|
Right balanced inequality ratio | P2 = | 0.298 022
|
Relative edge distribution entropy | Her = | 0.894 421
|
Power law exponent | γ = | 3.146 62
|
Tail power law exponent | γt = | 2.081 00
|
Degree assortativity | ρ = | −0.058 945 9
|
Degree assortativity p-value | pρ = | 0.000 00
|
Spectral norm | α = | 152.914
|
Algebraic connectivity | a = | 6.929 46 × 10−5
|
Spectral separation | |λ1[A] / λ2[A]| = | 2.285 97
|
Negativity | ζ = | 0.455 700
|
Algebraic conflict | ξ = | 0.005 160 59
|
Spectral signed frustration | φ = | 0.000 357 269
|
Controllability | C = | 149,758
|
Relative controllability | Cr = | 0.567 788
|
Plots
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]
|
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Konstan, and Georg Lausen.
Improving recommendation lists through topic diversification.
In Proc. Int. World Wide Web Conf., pages 22–32, 2005.
|