dash     (Retweet Networks)
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This network dataset is in the category of Retweet Networks
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Metadata
Category | Sparse Network |
Collection | Retweet network |
Tags | |
Short | Twitter retweet network |
Vertex type | User |
Edge type | Retweet |
Edge weights | Unweighted |
Description | Nodes are twitter users and edges are retweets. These were collected from various social and political hashtags. |
Please cite the following if you use the data:
Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.
@inproceedings{nr,
title={The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle={AAAI},
url={https://networkrepository.com},
year={2015}
}
@article{rossi2012fastclique,
title={What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks},
author={Ryan A. Rossi and David F. Gleich and Assefaw H. Gebremedhin and Mostofa A. Patwary},
journal={arXiv preprint arXiv:1210.5802},
pages={1--11},
year={2012}
}
@inproceedings{rossi2014pmc-www,
title={Fast Maximum Clique Algorithms for Large Graphs},
author={Ryan A. Rossi and David F. Gleich and Assefaw H. Gebremedhin and Mostofa A. Patwary},
booktitle={Proceedings of the 23rd International Conference on World Wide Web (WWW)},
year={2014}
}
@misc{truthy,
author={{Truthy}},
title={Information Diffusion Research at Indiana University},
note={{\url{http://truthy.indiana.edu/}}. Accessed 10/20/12.}}
Network Data Statistics
Nodes | 6.3K |
Edges | 7.5K |
Density | 0.000377055 |
Maximum degree | 439 |
Minimum degree | 1 |
Average degree | 2 |
Assortativity | -0.24904 |
Number of triangles | 509 |
Average number of triangles | 0 |
Maximum number of triangles | 34 |
Average clustering coefficient | 0.0110618 |
Fraction of closed triangles | 0.00105744 |
Maximum k-core | 5 |
Lower bound of Maximum Clique | 4 |
Network Data Preview
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Interactive Visualization of Node-level Properties and Statistics
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