Deezer Europe Social Network
Dataset information
A social network of Deezer users which was collected from the public API in March 2020. Nodes are Deezer users from European countries and edges are mutual follower relationships between them. The vertex features are extracted based on the artists liked by the users. The task related to the graph is binary node classification - one has to predict the gender of users. This target feature was derived from the name field for each user.
FEATHER paper: arxiv.org
FEATHER project: Github
| Dataset statistics |
| Directed | No. |
| Node features | Yes. |
| Edge features | No. |
| Node labels | Yes. Binary class. |
| Temporal | No. |
| Nodes | 28,281 |
| Edges | 92,752 |
| Density | 0.0002 |
| Transitvity | 0.0959 |
| Possible tasks |
| Binary node classification |
| Link prediction |
| Community detection |
| Network visualization |
Source (citation)
B. Rozemberczki and R. Sarkar. Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. 2020.
@inproceedings{feather,
title={{Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models}},
author={Benedek Rozemberczki and Rik Sarkar},
year={2020},
pages = {1325–1334},
booktitle={Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20)},
organization={ACM},
}
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