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KONECT > Networks > Digg

Digg

About this network

This is the reply network of the social news website Digg. Each node in the network is a user of the website, and each directed edge denotes that a user replied to another user.

Network info

CodeDG
Category Communication
Data source http://www.public.asu.edu/~mdechoud/datasets.html
Vertex type User
Edge type Reply
FormatDirected: Edges are directed Directed
Edge weightsMultiple unweighted: Multiple edges are possible Multiple unweighted
Metadata Loops:  An edge may connect a node with itself LoopTimestamps:  Edges are annotated with a timestamps Timestamps
Size30,398 vertices (users)
Volume87,627 edges (replies)
Unique volume86,404 edges (replies)
Average degree (overall)5.7653 edges / vertex
Fill9.3507 10–5 edges / vertex2
Maximum degree310 edges
Reciprocity1.55%
Size of LCC29,652 vertices
Size of LSCC6,746 vertices
Wedge count2,294,667
Claw count66,161,072
Triangle count4,282
Square count78,931
4-tour count9,980,426
Power law exponent (estimated) with dmin2.6910 (dmin = 16)
Gini coefficient63.2%
Relative edge distribution entropy92.0%
Assortativity0.0046339
Clustering coefficient0.560%
Diameter12 edges
90-percentile effective diameter5.40 edges
Mean shortest path length4.68 edges
Spectral norm40.400
Algebraic connectivity0.065239
Preferential attachment exponent0.50236 (ε = 3.0870)
Temporal distribution of the Digg network
Temporal distribution
Edge multiplicity distribution of the Digg network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Digg network
Cumulative edge multiplicity distribution
Degree distribution of the Digg network
Degree distribution
Outdegree distribution of the Digg network
Outdegree distribution
Indegree distribution of the Digg network
Indegree distribution
Degree distribution of the Digg network
Degree distribution
Outdegree distribution of the Digg network
Outdegree distribution
Indegree distribution of the Digg network
Indegree distribution

Out/indegree comparison

Out/indegree comparison of the Digg network
Out/indegree comparison
Degree distribution of the Digg network
Degree distribution
Outdegree distribution of the Digg network
Outdegree distribution
Indegree distribution of the Digg network
Indegree distribution
Degree distribution of the Digg network
Degree distribution
Outdegree distribution of the Digg network
Outdegree distribution
Indegree distribution of the Digg network
Indegree distribution
Clustering coefficient distribution of the Digg network
Clustering coefficient distribution
Distance distribution of the Digg network
Distance distribution
Distance distribution on a logistic scale of the Digg network
Distance distribution on a logistic scale
Temporal distance distribution of the Digg network
Temporal distance distribution
Top-k eigenvalues of A of the Digg network
Top-k eigenvalues of A
Top-k eigenvalues of N of the Digg network
Top-k eigenvalues of N
Top-k eigenvalues of L of the Digg network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Digg network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Digg network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Digg network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Digg network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Digg network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Digg network
Cumulative spectral distribution of L
Complex eigenvalues of the asymmetric adjacency matrix of the Digg network
Complex eigenvalues of the asymmetric adjacency matrix

Downloads

TSV file:downloadmunmun_digg_reply.tar.bz2 (608.89 KiB)
Extraction code:downloadmunmun.tar.bz2 (29.59 KiB)
RDF:download RDFmunmun_digg_reply.n3.bz2 (1.24 MiB)

References

[1] Digg network dataset -- KONECT, April 2017. [ http ]
[2] Munmun De Choudhury, Hari Sundaram, Ajita John, and Dorée Duncan Seligmann. Social synchrony: Predicting mimicry of user actions in online social media. In Proc. Int. Conf. on Computational Science and Engineering, pages 151--158, 2009.

BibTeX