Slashdot Zoo

This is the signed social network of users of the technology news site Slashdot (, connected by directed "friend" and "foe" relations. The "friend" and "foe" labels are used on Slashdot to mark users, and influence the scores as seen by each user. For instance, If user A marks user B as a foe, the score of user B's posts will be decreased as shown to user A.


Internal nameslashdot-zoo
NameSlashdot Zoo
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Online social network
Dataset timestamp 1997 ⋯ 2009
Node meaningUser
Edge meaningFriend/foe
Network formatUnipartite, directed
Edge typeSigned, possibly weighted, no multiple edges
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsDoes not contain loops


Size n =79,120
Volume m =515,397
Wedge count s =67,962,178
Claw count z =18,027,108,870
Cross count x =6,450,174,110,946
Triangle count t =537,997
Square count q =48,414,095
4-Tour count T4 =660,096,934
Maximum degree dmax =2,543
Maximum outdegree d+max =426
Maximum indegree dmax =2,529
Average degree d =13.028 2
Fill p =8.234 15 × 10−5
Size of LCC N =79,116
Size of LSCC Ns =26,997
Relative size of LSCC Nrs =0.341 216
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.483 48
90-Percentile effective diameter δ0.9 =4.584 41
Median distance δM =4
Mean distance δm =3.990 80
Gini coefficient G =0.774 219
Relative edge distribution entropy Her =0.870 898
Power law exponent γ =1.819 03
Tail power law exponent γt =2.181 00
Degree assortativity ρ =−0.074 604 4
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.386 575
Clustering coefficient c =0.023 748 4
Spectral norm α =52.183 3
Operator 2-norm ν =96.839 6
Cyclic eigenvalue π =83.056 3
Algebraic connectivity a =0.008 863 49
Spectral separation 1[A] / λ2[A]| =1.065 43
Reciprocity y =0.184 968
Non-bipartivity bA =0.594 523
Normalized non-bipartivity bN =0.042 441 3
Spectral bipartite frustration bK =0.001 581 69
Negativity ζ =0.239 074
Algebraic conflict ξ =0.073 579 5
Triadic conflict τ =0.134 578
Spectral signed frustration φ =0.001 562 05
Controllability C =45,683


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

In/outdegree scatter plot

Item rating evolution

Edge weight/multiplicity distribution

Clustering coefficient distribution

Average neighbor degree distribution


Matrix decompositions plots



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Jérôme Kunegis, Andreas Lommatzsch, and Christian Bauckhage. The Slashdot Zoo: Mining a social network with negative edges. In Proc. Int. World Wide Web Conf., pages 741–750, 2009. [ http ]