Network Statistics
100K
Total Nodes
14.1M
Total Edges
140.4
Avg Degree
Social Network
Category
Size Relative to Repository Maximum
Nodes
100K
Edges
14.1M
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 users. The users's 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 users. The users's 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
Friendster is a social networking website.The service allows users to contact other members, maintain those contacts, and share online content and media with those contacts.
This is the data set crawled by Stephen Booher () on Nov, 2010 from Friendster.
This contains the friendship network crawled. For easier understanding, all the contents are organized in CSV file format.
-. Basic statistics
Number of users : 100,199
Number of friendship pairs: 14,067,887
This is the data set crawled by Stephen Booher () on Nov, 2010 from Friendster.
This contains the friendship network crawled. For easier understanding, all the contents are organized in CSV file format.
-. Basic statistics
Number of users : 100,199
Number of friendship pairs: 14,067,887
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}
}