Arnetminer ACM
The directed citation network of ACM papers as extracted by the ArnetMiner
project. Directed edges of the from A→B denote a paper A citing a paper B.
Metadata
Statistics
Size | n = | 1,369,055
|
Volume | m = | 8,650,089
|
Loop count | l = | 3,047
|
Wedge count | s = | 816,355,014
|
Claw count | z = | 425,535,074,479
|
Cross count | x = | 493,029,216,779,945
|
Triangle count | t = | 7,269,242
|
Square count | q = | 183,618,561
|
4-Tour count | T4 = | 4,751,646,308
|
Maximum degree | dmax = | 8,619
|
Maximum outdegree | d+max = | 808
|
Maximum indegree | d−max = | 8,619
|
Average degree | d = | 12.636 6
|
Fill | p = | 4.615 08 × 10−6
|
Size of LCC | N = | 1,348,824
|
Size of LSCC | Ns = | 3,709
|
Relative size of LSCC | Nrs = | 0.002 709 17
|
Diameter | δ = | 29
|
50-Percentile effective diameter | δ0.5 = | 5.010 36
|
90-Percentile effective diameter | δ0.9 = | 6.550 19
|
Median distance | δM = | 6
|
Mean distance | δm = | 5.575 01
|
Gini coefficient | G = | 0.594 085
|
Balanced inequality ratio | P = | 0.279 812
|
Outdegree balanced inequality ratio | P+ = | 0.335 097
|
Indegree balanced inequality ratio | P− = | 0.226 456
|
Relative edge distribution entropy | Her = | 0.946 382
|
Power law exponent | γ = | 1.546 10
|
Tail power law exponent | γt = | 2.791 00
|
Tail power law exponent with p | γ3 = | 2.791 00
|
p-value | p = | 0.003 000 00
|
Outdegree tail power law exponent with p | γ3,o = | 4.571 00
|
Outdegree p-value | po = | 0.000 00
|
Indegree tail power law exponent with p | γ3,i = | 2.441 00
|
Indegree p-value | pi = | 0.000 00
|
Degree assortativity | ρ = | −0.034 210 7
|
Degree assortativity p-value | pρ = | 0.000 00
|
Clustering coefficient | c = | 0.026 713 5
|
Directed clustering coefficient | c± = | 0.103 148
|
Spectral norm | α = | 95.724 2
|
Operator 2-norm | ν = | 94.040 3
|
Cyclic eigenvalue | π = | 8.743 18
|
Reciprocity | y = | 0.002 238 94
|
Non-bipartivity | bA = | 0.029 684 4
|
Normalized non-bipartivity | bN = | 0.005 042 82
|
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]
|
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su.
ArnetMiner: Extraction and mining of academic social networks.
In Proc. Int. Conf. on Knowl. Discov. and Data Min., pages
990–998, 2008.
|