gemsec-HR (Social Networks)
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This network dataset is in the category of Social Networks
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Metadata
| Category | Sparse Networks |
| Collection | Social Networks |
| Tags | |
| Short | Nodes represent the pages and edges are mutual likes among them. |
| Vertex type | User |
| Edge type | Mutual friendship |
| Format | Undirected |
| Description | The data was collected from the music streaming service Deezer (November 2017). These datasets represent friendship networks of users from 3 European countries. Nodes represent the users and edges are the mutual friendships. We reindexed the nodes in order to achieve a certain level of anonimity. The edge files contain the edges - nodes are indexed from 0. The json files contain the genre preferences of users - each key is a user id, the genres loved are given as lists. Genre notations are consistent across users. In each dataset users could like 84 distinct genres. Liked genre lists were compiled based on the liked song lists. The countries included are Romania, Croatia and Hungary. |
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{rozemberczki2019gemsec,
title={GEMSEC: Graph Embedding with Self Clustering},
author={Rozemberczki, Benedek and Davies, Ryan and Sarkar, Rik and Sutton, Charles},
booktitle={Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2019},
pages={65-72},
year={2019},
organization={ACM}
}
Network Data Statistics
| Nodes | 54.6K |
| Edges | 498.2K |
| Density | 0.000334571 |
| Maximum degree | 420 |
| Minimum degree | 1 |
| Average degree | 18 |
| Assortativity | 0.197106 |
| Number of triangles | 2M |
| Average number of triangles | 36 |
| Maximum number of triangles | 1.5K |
| Average clustering coefficient | 0.136477 |
| Fraction of closed triangles | 0.11463 |
| Maximum k-core | 22 |
| Lower bound of Maximum Clique | 9 |
Network Data Preview
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Interactive Visualization of Node-level Properties and Statistics
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