Twitch Ego Nets
Dataset information
The ego-nets of Twitch users who participated in the partnership program in April 2018. Nodes are users and links are friendships. The binary classification task is to predict using the ego-net whether the ego user plays a single or multple games. Players who play a single game usually have a more dense ego-net.
| Properties |
| Number of graphs: 127,094 |
| Directed: No. |
| Node features: No. |
| Edge features: No. |
| Graph labels: Yes. Binary-labeled. |
| Temporal: No. |
| Stats | Min | Max |
| Nodes | 14 | 52 |
| Density | 0.038 | 0.967 |
| Diameter | 1 | 2 |
| Possible tasks |
| Graph classification |
Paper: https://arxiv.org/abs/2003.04819
Github Page: https://github.com/benedekrozemberczki/karateclub
Source (citation)
B. Rozemberczki, O. Kiss, R. Sarkar: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs 2019.
@inproceedings{karateclub,
title = {{Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs}},
author = {Benedek Rozemberczki and Oliver Kiss and Rik Sarkar},
year = {2020},
pages = {3125–3132},
booktitle = {Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20)},
organization = {ACM},
}
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