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KONECT > Networks > Twitter

Twitter

About this network

This is the directed network of "@username" mentions on Twitter. Each node is a Twitter user, and each directed edge from user A to user B means that user A has mentioned user B in a tweet using the "@username" syntax. Multiple edges are allowed, and each edge is annotated with the timestamp of the tweet. Since it is possible to mention one's own username, this network contains loops.

Network info

CodeWa
Category OnlineContact
Data source http://www.public.asu.edu/~mdechoud/datasets.html
Vertex type User
Edge type Mention
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
Size2,919,613 vertices (users)
Volume12,887,063 edges (mentions)
Unique volume7,301,101 edges (mentions)
Average degree (overall)8.8279 edges / vertex
Fill8.5652 10–7 edges / vertex2
Maximum degree39,753 edges
Reciprocity3.20%
Size of LCC2,893,623 vertices
Size of LSCC98,784 vertices
Wedge count736,717,625
Claw count690,658,257,498
Triangle count1,449,797
Square count81,161,696
4-tour count3,610,479,352
Power law exponent (estimated) with dmin1.8610 (dmin = 2)
Gini coefficient79.8%
Relative edge distribution entropy89.4%
Assortativity–0.010568
Clustering coefficient0.590%
Diameter23 edges
90-percentile effective diameter5.91 edges
Mean shortest path length5.45 edges
Spectral norm1114.5
Preferential attachment exponent1.0379 (ε = 2.9909)
Temporal distribution of the Twitter network
Temporal distribution
Edge multiplicity distribution of the Twitter network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Twitter network
Cumulative edge multiplicity distribution
Degree distribution of the Twitter network
Degree distribution
Outdegree distribution of the Twitter network
Outdegree distribution
Indegree distribution of the Twitter network
Indegree distribution
Degree distribution of the Twitter network
Degree distribution
Outdegree distribution of the Twitter network
Outdegree distribution
Indegree distribution of the Twitter network
Indegree distribution
Degree distribution of the Twitter network
Degree distribution
Outdegree distribution of the Twitter network
Outdegree distribution
Indegree distribution of the Twitter network
Indegree distribution
Clustering coefficient distribution of the Twitter network
Clustering coefficient distribution
Distance distribution of the Twitter network
Distance distribution
Distance distribution on a logistic scale of the Twitter network
Distance distribution on a logistic scale
Top-k eigenvalues of A of the Twitter network
Top-k eigenvalues of A
Top-k eigenvalues of N of the Twitter network
Top-k eigenvalues of N
Spectral distribution of the eigenvalues of A of the Twitter network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Twitter network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Twitter network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Twitter network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Twitter network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Twitter network
Cumulative spectral distribution of L
Complex eigenvalues of the asymmetric adjacency matrix of the Twitter network
Complex eigenvalues of the asymmetric adjacency matrix

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References

[1] Twitter network dataset -- KONECT, April 2017. [ http ]
[2] Munmun De Choudhury, Yu-Ru Lin, Hari Sundaram, K. Selçuk Candan, Lexing Xie, and Aisling Kelliher. How does the data sampling strategy impact the discovery of information diffusion in social media? In ICWSM, pages 34--41, 2010.

BibTeX