Chicago
This is the directed road transportation network of the Chicago region (USA).
Nodes are transport nodes, and edges are directed connections.
Metadata
Statistics
Size  n =  12,982

Volume  m =  39,018

Loop count  l =  0

Wedge count  s =  53,155

Claw count  z =  435,211

Cross count  x =  558,250

Triangle count  t =  807

Square count  q =  3,027

4Tour count  T_{4} =  278,090

Maximum degree  d_{max} =  14

Maximum outdegree  d^{+}_{max} =  7

Maximum indegree  d^{−}_{max} =  7

Average degree  d =  6.011 09

Fill  p =  0.000 231 641

Size of LCC  N =  12,979

Size of LSCC  N_{s} =  12,978

Relative size of LSCC  N^{r}_{s} =  0.999 692

Diameter  δ =  106

50Percentile effective diameter  δ_{0.5} =  42.128 0

90Percentile effective diameter  δ_{0.9} =  66.912 8

Median distance  δ_{M} =  43

Mean distance  δ_{m} =  43.265 7

Gini coefficient  G =  0.216 238

Balanced inequality ratio  P =  0.424 573

Outdegree balanced inequality ratio  P_{+} =  0.424 266

Indegree balanced inequality ratio  P_{−} =  0.424 727

Relative edge distribution entropy  H_{er} =  0.990 770

Power law exponent  γ =  1.938 81

Tail power law exponent  γ_{t} =  8.581 00

Tail power law exponent with p  γ_{3} =  8.581 00

pvalue  p =  0.000 00

Outdegree tail power law exponent with p  γ_{3,o} =  8.541 00

Outdegree pvalue  p_{o} =  0.000 00

Indegree tail power law exponent with p  γ_{3,i} =  8.531 00

Indegree pvalue  p_{i} =  0.000 00

Degree assortativity  ρ =  −0.119 111

Degree assortativity pvalue  p_{ρ} =  3.316 99 × 10^{−130}

In/outdegree correlation  ρ^{±} =  +0.960 178

Clustering coefficient  c =  0.045 546 0

Directed clustering coefficient  c^{±} =  0.045 312 4

Spectral norm  α =  8.453 35

Operator 2norm  ν =  4.227 22

Algebraic connectivity  a =  0.000 795 844

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.048 43

Reciprocity  y =  0.942 693

Normalized nonbipartivity  b_{N} =  0.022 914 0

Algebraic nonbipartivity  χ =  0.051 149 7

Spectral bipartite frustration  b_{K} =  0.004 023 08

Controllability  C =  1,060

Relative controllability  C_{r} =  0.081 670 4

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]

R. W. Eash, K. S. Chon, Y. J. Lee, and D. E. Boyce.
Equilibrium traffic assignment on an aggregated highway network for
sketch planning.
Transp. Res. Record, 994:30–37, 1983.

[3]

D. E. Boyce, K. S. Chon, M. E. Ferris, Y. J. Lee, KT. Lin, and R. W. Eash.
Implementation and evaluation of combined models of urban travel and
location on a sketch planning network.
Chicago Area Transp. Study, pages xii + 169, 1985.
