NIPS full papers
This is the bipartite document–word dataset of NIPS full papers. Left nodes
are documents and right nodes are words. Edge weights are multiplicities.
Metadata
Statistics
Size  n =  13,875

Left size  n_{1} =  1,500

Right size  n_{2} =  12,375

Volume  m =  1,932,365

Unique edge count  m̿ =  746,316

Wedge count  s =  316,414,350

Claw count  z =  60,669,295,416

Cross count  x =  10,271,177,488,043

Square count  q =  7,325,274,840

Maximum degree  d_{max} =  1,455

Maximum left degree  d_{1max} =  914

Maximum right degree  d_{2max} =  1,455

Average degree  d =  278.539

Average left degree  d_{1} =  1,288.24

Average right degree  d_{2} =  156.151

Fill  p =  0.040 205 6

Average edge multiplicity  m̃ =  2.589 20

Size of LCC  N =  13,875

Diameter  δ =  6

50Percentile effective diameter  δ_{0.5} =  3.028 37

90Percentile effective diameter  δ_{0.9} =  3.805 67

Median distance  δ_{M} =  4

Mean distance  δ_{m} =  3.219 19

Gini coefficient  G =  0.821 596

Balanced inequality ratio  P =  0.140 265

Left balanced inequality ratio  P_{1} =  0.454 947

Right balanced inequality ratio  P_{2} =  0.178 579

Relative edge distribution entropy  H_{er} =  0.892 567

Power law exponent  γ =  1.300 92

Degree assortativity  ρ =  −0.042 518 0

Degree assortativity pvalue  p_{ρ} =  0.000 00

Spectral norm  α =  1,943.24

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]

M. Lichman.
UCI Machine Learning Repository, 2013.
[ http ]
