twitter_sample — Twitter sample (2014)
- Description
A sample of the Twitter follower network in 2012, obtained by crawling follower links outward breadth- or depth-first from an arbitrary set of seed profiles. Nodes are twitter accounts, and edges represent the directed following relationship.1
- Tags
- Social Online Unweighted
- Citation
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- D. Kagan, M. Fire, and Y. Elovici, "Unsupervised Anomalous Vertices Detection Utilizing Link Prediction Algorithms", Preprint, arXiv:1610.07525 (2017) arXiv:1610.07525
- Upstream URL OK
- http://data4good.cs.washington.edu/index.html
- Networks
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Tip: hover over a column header for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties