Graph Embedding with Self Clustering: Facebook; GEMSEC

Rozemberczki, Benedek; Davies, Ryan; Sarkar, Rik; Sutton, Charles

2019

We collected data about Facebook pages (November 2017). These datasets represent blue verified Facebook page networks across eight distinct categories: Government, News Sites, Athletes, Public Figures, TV Shows, Politicians, Artists, and Companies. In this dataset, nodes represent individual Facebook pages, and edges denote mutual likes between these pages, reflecting the interconnectedness within and between different interest groups.  We reindexed the nodes in order to achieve a certain level of anonymity. The csv files contain the edges -- nodes are indexed from 0. We included 8 different distinct types of pages. For each dataset we listed the number of nodes an edges. The dataset's size varies by category, with the largest subset (Artists) containing 50,515 nodes and 819,306 edges, and the smallest subset (TV Shows) comprising 3,892 nodes and 17,262 edges. In total, the dataset has a size of 0,005 GB and encompasses 134,833 nodes and 1,380,293 edges, offering a rich source for analyzing the structure and dynamics of Facebook page interactions. Structurally, the dataset is divided into eight sub-datasets, each corresponding to a specific category of Facebook pages.