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LastFM Asia Social Network Data Set
Download: Data Folder, Data Set Description

Abstract: A social network of LastFM users from Asian countries. The related task is predicting the country of origin based on social relations and artists liked.

Data Set Characteristics:  

Multivariate

Number of Instances:

7624

Area:

Social

Attribute Characteristics:

N/A

Number of Attributes:

7842

Date Donated

2020-07-31

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

3230


Source:

Benedek Rozemberczki
benedek.rozemberczki '@' gmail.com
The University of Edinburgh


Data Set Information:

A social network of LastFM users which was collected from the public API in March 2020. Nodes are LastFM users from Asian 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 multinomial node classification - one has to predict the location of users. This target feature was derived from the country field for each user.


Attribute Information:

Attributes are artists liked by the LASTFM Users.


Relevant Papers:

Benedek Rozemberczki and Rik Sarkar. 2020. Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. In Proceedings of the 29th ACM International on Conference on Information and Knowledge Management (CIKM ’20). ACM



Citation Request:

@inproceedings{rozemberczkifeather,
title={{Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models}},
author={Benedek Rozemberczki and Rik Sarkar},
year={2020},
booktitle = {Proceedings of the 29th ACM International on Conference on Information and Knowledge Management (CIKM '20)},
organization = {ACM},
}


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