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KONECT > Networks > Twitter u-t

Twitter user–hashtag

About this network

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

Network info

CodeWut
Category Folksonomy
Data source http://www.public.asu.edu/~mdechoud/datasets.html
Vertex type User, hashtag
Edge type Usage
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
Size880,846 = 705,632 + 175,214 vertices (users + hashtags)
Volume4,664,605 edges (usages)
Unique volume1,890,661 edges (usages)
Average degree (overall)13.221 edges / vertex
Average user degree26.622 edges / vertex
Average hashtag degree8.7942 edges / vertex
Fill2.0344 × 10–5 edges / vertex2
Maximum degree90,362 edges
Wedge count1,006,768,611
Claw count3,620,991,361,242
Square count206,508,691
4-tour count5,682,999,878
Power law exponent (estimated) with dmin2.6010 (dmin = 34)
Gini coefficient84.3%
Relative edge distribution entropy88.3%
Assortativity–0.098656
Diameter16 edges
90-percentile effective diameter5.89 edges
Mean shortest path length5.32 edges
Spectral norm2216.5
Algebraic connectivity0.0030779
Preferential attachment exponent0.84305 (ε = 2.4783)
Temporal distribution of the Twitter user–hashtag network
Temporal distribution
Edge multiplicity distribution of the Twitter user–hashtag network
Edge multiplicity distribution
Cumulative edge multiplicity distribution of the Twitter user–hashtag network
Cumulative edge multiplicity distribution
User degree distribution of the Twitter user–hashtag network
User degree distribution
Hashtag degree distribution of the Twitter user–hashtag network
Hashtag degree distribution
User degree distribution of the Twitter user–hashtag network
User degree distribution
Hashtag degree distribution of the Twitter user–hashtag network
Hashtag degree distribution
Left degree distribution of the Twitter user–hashtag network
Left degree distribution
Degree distribution of the Twitter user–hashtag network
Degree distribution
User degree distribution of the Twitter user–hashtag network
User degree distribution
Hashtag degree distribution of the Twitter user–hashtag network
Hashtag degree distribution
Distance distribution of the Twitter user–hashtag network
Distance distribution
Distance distribution on a logistic scale of the Twitter user–hashtag network
Distance distribution on a logistic scale
Spectral distribution of the eigenvalues of A of the Twitter user–hashtag network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Twitter user–hashtag network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Twitter user–hashtag network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Twitter user–hashtag network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Twitter user–hashtag network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Twitter user–hashtag network
Cumulative spectral distribution of L

Downloads

TSV file:downloadmunmun_twitterex_ut.tar.bz2 (27.38 MiB)
Extraction code:downloadmunmun.tar.bz2 (29.59 KiB)

References

[1] Twitter user–hashtag 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