Network Statistics
108K
Total Nodes
5.1M
Total Edges
47.1
Avg Degree
Music
Category
Size Relative to Repository Maximum
Nodes
108K
Edges
5.1M
Nodes & Edges — Repository Comparison
Highlighted bar = this dataset. Logarithmic scale.
Edge-to-Node Ratio
Network density indicator
Dataset Details
Dataset Information
2 files are included:
1. nodes.csv
-- it's the file of all the users. This file works as a dictionary of all the users in this data set. It's useful for fast reference. It contains
all the node ids used in the dataset
2. edges.csv
-- this is the friendship network among the bloggers. The friends are represented using edges.
Here is an example.
1,2
This means user with id "1" is friend with user id "2".
1. nodes.csv
-- it's the file of all the users. This file works as a dictionary of all the users in this data set. It's useful for fast reference. It contains
all the node ids used in the dataset
2. edges.csv
-- this is the friendship network among the bloggers. The friends are represented using edges.
Here is an example.
1,2
This means user with id "1" is friend with user id "2".
Attribute Information
Last.fm is a music website, founded in the United Kingdom in 2002. It has claimed over 40 million active users based in more than 190 countries. This contains the friendship network crawled in December 2010 by Megan Kearl (). For easier understanding, all the contents are organized in CSV file format.
-. Basic statistics
Number of Nodes: 108,493
Number of Edges: 5,115,300
-. Basic statistics
Number of Nodes: 108,493
Number of Edges: 5,115,300
How to Cite
If you publish material based on data from this repository, please acknowledge the Data Lab Social Computing Data Repository at Syracuse University in your acknowledgements. This helps others find and replicate your work.
APA Format
R. Zafarani and H. Liu. (2026). Social Computing Data Repository [https://datasets.syr.edu]. Data Lab, Syracuse University.
@misc{Data Lab:SU,
author = {R. Zafarani and H. Liu},
year = {2026},
title = {Social Computing Data Repository},
url = {https://datasets.syr.edu},
institution = {Data Lab, Syracuse University}
}
author = {R. Zafarani and H. Liu},
year = {2026},
title = {Social Computing Data Repository},
url = {https://datasets.syr.edu},
institution = {Data Lab, Syracuse University}
}