Facebook Large Page-Page Network; MUSAE

Rozemberczki, Benedek; Allen, Carl; Sarkar, Rik

2019

This webgraph is a page-page graph of verified Facebook sites. It offers a comprehensive snapshot of the mutual like relationships among verified Face. Nodes represent official Facebook pages while the links are mutual likes between sites. 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. The dataset has a total size of 0,001 GB and encompasses 22,470 nodes, each representing an official Facebook page, and 171,002 edges, indicating mutual like relationships between these pages. It is particularly suited for tasks such as multi-class node classification, link prediction, community detection, and network visualization, offering researchers a rich resource to explore the structural properties and interactions within the Facebook page ecosystem.

The components of the dataset contain:​

• Nodes: Each node corresponds to a verified Facebook page, categorized into one of four types: politicians, governmental organizations, television shows, and companies.​

• Edges: Edges represent mutual like relationships between pages, forming an undirected graph that reflects the interconnectedness of these entities.​

• Node Features: Features are extracted from the descriptions provided by page owners, summarizing the purpose of their respective page ​