LiquidFeedback (global)

Metadata

CodeLg
Internal namelqfb-Global
NameLiquidFeedback (global)
AvailabilityDataset is not available for download
Consistency checkDataset passed all tests
Category
Online contact network
Network formatUnipartite, directed
Edge typeDynamic
Temporal data Edges are annotated with timestamps
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsDoes not contain loops

Statistics

Size n =775
Volume m =1,254
Unique edge count m̿ =576
Loop count l =0
Wedge count s =9,037
Claw count z =72,407
Cross count x =1,159,389
Triangle count t =45
Square count q =3
4-Tour count T4 =18,676
Maximum degree dmax =141
Maximum outdegree d+max =16
Maximum indegree dmax =139
Average degree d =3.236 13
Fill p =0.001 262 33
Average edge multiplicity m̃ =2.177 08
Size of LCC N =554
Size of LSCC Ns =5
Relative size of LSCC Nrs =0.006 451 61
Diameter δ =12
50-Percentile effective diameter δ0.5 =4.291 45
90-Percentile effective diameter δ0.9 =6.622 11
Median distance δM =5
Mean distance δm =4.874 84
Gini coefficient G =0.373 300
Relative edge distribution entropy Her =0.922 456
Power law exponent γ =5.347 24
Tail power law exponent γt =2.691 00
Tail power law exponent with p γ3 =2.691 00
p-value p =0.019 000 0
Outdegree tail power law exponent with p γ3,o =5.631 00
Outdegree p-value po =0.763 000
Indegree tail power law exponent with p γ3,i =2.101 00
Indegree p-value pi =0.118 000
Degree assortativity ρ =−0.151 883
Degree assortativity p-value pρ =2.831 98 × 10−7
In/outdegree correlation ρ± =−0.216 183
Clustering coefficient c =0.014 938 6
Directed clustering coefficient c± =0.004 761 90
Spectral norm α =8.588 94
Operator 2-norm ν =8.427 91
Cyclic eigenvalue π =1.324 72
Algebraic connectivity a =0.012 817 1
Reciprocity y =0.034 722 2
Non-bipartivity bA =6.270 78 × 10−5
Normalized non-bipartivity bN =0.003 524 84
Algebraic non-bipartivity χ =0.007 000 89
Spectral bipartite frustration bK =0.000 867 568

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

Double Laplacian graph drawing

Delaunay graph drawing

In/outdegree scatter plot

Clustering coefficient distribution

Average neighbor degree distribution

Temporal distribution

Temporal hop distribution

Diameter/density evolution

Signed temporal distribution

SynGraphy

Inter-event distribution

Node-level inter-event distribution

Matrix decompositions plots

References

[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Christoph Carl Kling, Jérôme Kunegis, Heinrich Hartmann, Markus Strohmaier, and Steffen Staab. Voting behaviour and power in online democracy: A study of LiquidFeedback in Germany's Pirate Party. In Proc. Int. Conf. on Weblogs and Soc. Media, pages 208–217, 2015. [ http ]