UMass92 (Facebook Networks)
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This network dataset is in the category of Facebook Networks
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Metadata
| Category | Sparse networks |
| Collection | Facebook networks |
| Tags | |
| Short | Facebook social network |
| Vertex type | Person |
| Edge type | Friendship, social relationship |
| Format | Undirected |
| Edge weights | Unweighted |
| Description | A social friendship network extracted from Facebook consisting of people (nodes) with edges representing friendship ties. |
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{traud2012social,
title={Social structure of {F}acebook networks},
author={Traud, Amanda L and Mucha, Peter J and Porter, Mason A},
journal={Phys. A},
month={Aug},
number={16},
pages={4165--4180},
volume={391},
year={2012}
}
@article{Traud:2011fs,
title={Comparing Community Structure to Characteristics in Online Collegiate Social Networks},
author={Traud, Amanda L and Kelsic, Eric D and Mucha, Peter J and Porter, Mason A},
journal={SIAM Rev.},
number={3},
pages={526--543},
volume={53},
year={2011}
}
Network Data Statistics
| Nodes | 16.5K |
| Edges | 519.4K |
| Density | 0.00380834 |
| Maximum degree | 3.7K |
| Minimum degree | 1 |
| Average degree | 62 |
| Assortativity | -0.00137358 |
| Number of triangles | 7.9M |
| Average number of triangles | 481 |
| Maximum number of triangles | 63.2K |
| Average clustering coefficient | 0.209074 |
| Fraction of closed triangles | 0.123239 |
| Maximum k-core | 54 |
| Lower bound of Maximum Clique | 10 |
Network Data Preview
Interactive visualization of socfb-UMass92's graph structure
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Interactive Visualization of Node-level Properties and Statistics
Tools for Interactive Exploration of Node-level Statistics
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