ia-retweet-pol (Dynamic Networks)
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This network dataset is in the category of Dynamic Networks
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Metadata
| Category | Sparse Networks |
| Collection | Interaction Networks |
| Tags | |
| Short | Retweet network |
| Vertex type | User |
| Edge type | Retweet |
| Format | Undirected |
| Edge weights | Unweighted |
| Metadata | Time |
| Description | Nodes are Twitter users and edges represent whether the users have retweeted each other. |
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}
}
@inproceedings{conover2011political,
title={Political polarization on twitter},
author={Conover, M.D. and Ratkiewicz, J. and Francisco, M. and Gon{\c{c}
}alves,
B. and Flammini, A. and Menczer, F.},
booktitle={ICWSM},
year={2011}
}
Network Data Statistics
| Nodes | 18.5K |
| Edges | 61.2K |
| Density | 0.000358563 |
| Maximum degree | 1K |
| Minimum degree | 1 |
| Average degree | 6 |
| Assortativity | -0.0560735 |
| Number of triangles | 377.3K |
| Average number of triangles | 20 |
| Maximum number of triangles | 14.7K |
| Average clustering coefficient | 0.0596484 |
| Fraction of closed triangles | 0.0576168 |
| Maximum k-core | 80 |
| Lower bound of Maximum Clique | 44 |
Network Data Preview
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