rec-epinions-user-ratings (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 | Recommendation Networks |
| Tags | |
| Short | Epinions product ratings |
| Vertex type | User, product |
| Edge type | Rating |
| Format | Bipartite |
| Edge weights | Weighted |
| Description | Bipartite rating network of Epinions -- an online product rating site. Nodes are users and products and each edge connects a user with a product and represents a rating. The weight of the edge is the rating value. |
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}
}
@incollection{richardson2003trust,
title={Trust management for the semantic web},
author={Richardson, Matthew and Agrawal, Rakesh and Domingos, Pedro},
booktitle={The Semantic Web-ISWC 2003},
pages={351--368},
year={2003},
publisher={Springer}
}
@inproceedings{nr:massa05,
title = {Controversial Users Demand Local Trust Metrics: An Experimental Study on epinions.com Community},
author = {Paolo Massa and Paolo Avesani},
booktitle = {AAAI},
year = {2005},
pages = {121--126},
}
Network Data Statistics
| Nodes | 755.8K |
| Edges | 13.7M |
| Density | 4.78604e-05 |
| Maximum degree | 162.2K |
| Minimum degree | 1 |
| Average degree | 36 |
| Assortativity | -0.55624 |
| Number of triangles | 44.2M |
| Average number of triangles | 58 |
| Maximum number of triangles | 2.2M |
| Average clustering coefficient | 0.0406134 |
| Fraction of closed triangles | 0.000635853 |
| Maximum k-core | 152 |
| Lower bound of Maximum Clique | 11 |
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