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gemsec-HR     (Social Networks)

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This network dataset is in the category of Social Networks







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Metadata

CategorySparse Networks
CollectionSocial Networks
Tags
ShortNodes represent the pages and edges are mutual likes among them.
Vertex typeUser
Edge typeMutual friendship
FormatUndirected
DescriptionThe 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:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={AAAI},
     url={http://garlandal.com},
     year={2015}
}

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{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

Nodes54.6K
Edges498.2K
Density0.000334571
Maximum degree420
Minimum degree1
Average degree18
0.197106
Number of triangles2M
Average number of triangles36
Maximum number of triangles1.5K
Average clustering coefficient0.136477
Fraction of closed triangles0.11463
Maximum k-core22
Lower bound of Maximum Clique9

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  • Each point represents a node (vertex) in the graph.
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