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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.
StatsMinMax
Nodes 1452
Density 0.0380.967
Diameter 12

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},
    }
    
    
      

    Files

    File Description
    twitch_egos.zipTwitch Ego Nets dataset