Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Facebook Large Page-Page Network Data Set
Download: Data Folder, Data Set Description

Abstract: This webgraph is a page-page graph of verified Facebook sites. Nodes represent official Facebook pages while the links are mutual likes between sites.

Data Set Characteristics:  

Multivariate

Number of Instances:

22470

Area:

Social

Attribute Characteristics:

N/A

Number of Attributes:

4714

Date Donated

2020-07-22

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

2246


Source:

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


Data Set Information:

Node features are extracted from the site descriptions that the page owners created to summarize the purpose of the site. This graph was collected through the Facebook Graph API in November 2017 and restricted to pages from 4 categories which are defined by Facebook. These categories are: politicians, governmental organizations, television shows and companies. The task related to this dataset is multi-class node classification for the 4 site categories. Provide all relevant information about your data set.


Attribute Information:

Features are words that appear in the page descriptions.


Relevant Papers:

B. Rozemberczki, C. Allen and R. Sarkar. Multi-scale Attributed Node Embedding. 2019.



Citation Request:

@misc{rozemberczki2019multiscale,
title={Multi-scale Attributed Node Embedding},
author={Benedek Rozemberczki and Carl Allen and Rik Sarkar},
year={2019},
eprint={1909.13021},
archivePrefix={arXiv},
primaryClass={cs.LG}
}


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML