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KONECT > Networks > Twitter u-i

Twitter user–URL

About this network

This is the bipartite network consisting of Twitter users and the URLs they mentioned in their postings. Left nodes represent users and right nodes represent URLs. An edge shows that an URL was mentioned by a user in a tweet.

Network info

CodeWui
Category Folksonomy
Data source http://www.public.asu.edu/~mdechoud/datasets.html
Vertex type User, URL
Edge type Mention
FormatBipartite: Edges connect two types of nodes Bipartite
Edge weightsMultiple unweighted: Multiple edges are possible Multiple unweighted
Metadata Timestamps:  Edges are annotated with a timestamps TimestampsIncomplete:   not all edges or nodes from the original dataset are included Incomplete
Size9,618,743 = 9,374,206 + 244,537 vertices (users + urls)
Volume12,656,613 edges (mentions)
Unique volume10,214,177 edges (mentions)
Average degree (overall)2.7003 edges / vertex
Average user degree51.757 edges / vertex
Average url degree1.3863 edges / vertex
Fill4.5751 × 10–6 edges / vertex2
Maximum degree24,106 edges
Wedge count708,995,210
Claw count1,155,590,474,676
Square count53,711,135
4-tour count3,286,104,890
Power law exponent (estimated) with dmin3.2610 (dmin = 1)
Gini coefficient62.4%
Relative edge distribution entropy90.6%
Assortativity–0.042714
Diameter30 edges
90-percentile effective diameter9.76 edges
Mean shortest path length8.13 edges
Spectral norm1713.8
Preferential attachment exponent0.28074 (ε = 1.3000)
Temporal distribution of the Twitter user–URL network
Temporal distribution
Edge multiplicity distribution of the Twitter user–URL network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Twitter user–URL network
Cumulative edge multiplicity distribution
User degree distribution of the Twitter user–URL network
User degree distribution
URL degree distribution of the Twitter user–URL network
URL degree distribution
User degree distribution of the Twitter user–URL network
User degree distribution
URL degree distribution of the Twitter user–URL network
URL degree distribution
Degree distribution of the Twitter user–URL network
Degree distribution
User degree distribution of the Twitter user–URL network
User degree distribution
URL degree distribution of the Twitter user–URL network
URL degree distribution
Distance distribution of the Twitter user–URL network
Distance distribution
Distance distribution on a logistic scale of the Twitter user–URL network
Distance distribution on a logistic scale
Spectral distribution of the eigenvalues of A of the Twitter user–URL network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Twitter user–URL network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Twitter user–URL network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Twitter user–URL network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Twitter user–URL network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Twitter user–URL network
Cumulative spectral distribution of L

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References

[1] Twitter user–url network dataset -- KONECT, October 2016. [ 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.

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