CiteSeer

This is an authorship network extracted from CiteSeer. The network is bipartite. Left nodes are authors and right nodes are scientific publications. An edge represents that an author has (co-)published a given publication.

Metadata

CodeCS
Internal namekomarix-citeseer
NameCiteSeer
Data sourcehttp://komarix.org/ac/ds/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Authorship network
Node meaningAuthor, publication
Edge meaningAuthorship
Network formatBipartite, undirected
Edge typeUnweighted, no multiple edges
Snapshot Is a snapshot and likely to not contain all data

Statistics

Size n =286,748
Left size n1 =105,353
Right size n2 =181,395
Volume m =512,267
Wedge count s =6,600,745
Claw count z =141,351,614
Cross count x =4,706,439,420
Square count q =1,005,817
4-Tour count T4 =35,474,306
Maximum degree dmax =385
Maximum left degree d1max =286
Maximum right degree d2max =385
Average degree d =3.572 94
Average left degree d1 =4.862 39
Average right degree d2 =2.824 04
Fill p =2.680 55 × 10−5
Size of LCC N =269,000
Diameter δ =34
50-Percentile effective diameter δ0.5 =9.609 52
90-Percentile effective diameter δ0.9 =12.771 1
Median distance δM =10
Mean distance δm =10.256 5
Gini coefficient G =0.433 609
Balanced inequality ratio P =0.341 086
Left balanced inequality ratio P1 =0.247 713
Right balanced inequality ratio P2 =0.420 591
Relative edge distribution entropy Her =0.960 274
Power law exponent γ =2.073 83
Tail power law exponent γt =2.421 00
Tail power law exponent with p γ3 =2.421 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =3.711 00
Left p-value p1 =0.002 000 00
Right tail power law exponent with p γ3,2 =4.881 00
Right p-value p2 =0.006 000 00
Degree assortativity ρ =−0.024 252 2
Degree assortativity p-value pρ =1.642 04 × 10−67
Spectral norm α =19.779 0
Algebraic connectivity a =0.004 724 70
Spectral separation 1[A] / λ2[A]| =1.080 33
Controllability C =114,852
Relative controllability Cr =0.400 533

Plots

Fruchterman–Reingold graph drawing

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Delaunay graph drawing

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 ]