LiveJournal

This is the social network of LiveJournal. Nodes are users of LiveJournal, and directed edges represent friendships.

Metadata

CodeLJ
Internal namesoc-LiveJournal1
NameLiveJournal
Data sourcehttp://snap.stanford.edu/data/soc-LiveJournal1.html
AvailabilityDataset is available for download
Consistency checkCheck was not executed
Category
Online social network
Node meaningUser
Edge meaningFriendship
Network formatUnipartite, directed
Edge typeUnweighted, no multiple edges
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsDoes not contain loops

Statistics

Size n =4,846,609
Volume m =68,475,391
Wedge count s =7,269,503,753
Claw count z =9,778,896,249,995
Cross count x =26,294,801,172,589,484
Triangle count t =285,730,264
Square count q =51,520,572,777
Maximum degree dmax =22,887
Maximum outdegree d+max =20,292
Maximum indegree dmax =13,905
Average degree d =28.257 0
Fill p =2.915 13 × 10−6
Size of LCC N =4,843,953
Size of LSCC Ns =3,828,682
Relative size of LSCC Nrs =0.789 815
Diameter δ =20
50-Percentile effective diameter δ0.5 =4.949 60
90-Percentile effective diameter δ0.9 =6.179 12
Mean distance δm =5.488 16
Gini coefficient G =0.715 911
Relative edge distribution entropy Her =0.929 996
Power law exponent γ =1.561 69
Tail power law exponent γt =2.651 00
Degree assortativity ρ =+0.021 043 4
Degree assortativity p-value pρ =0.000 00
Clustering coefficient c =0.117 916
Spectral norm α =760.849
Cyclic eigenvalue π =352.036
Reciprocity y =0.748 419
Non-bipartivity bA =0.703 558

Plots

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 normalized adjacency matrix

Degree assortativity

Hop distribution

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] Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, and Michael W. Mahoney. Statistical properties of community structure in large social and information networks. In Proc. Int. World Wide Web Conf., pages 695–704, 2008.