Profiling Facebook Public Page Graph

This paper focuses on the Facebook public page graph, which represents the “Like” connections among public pages on Facebook. In the first part, an efficient algorithm is proposed to predict the geographic location of the public page with 90.25% accuracy. In the second part, we compute various properties of the graph including page distribution by country and category, graph connectivity, and country international impact. There are four main findings. First, the usage of the public page on Facebook is imbalanced. Second, nearly all countries are closely connected on Facebook. Third, the country's PageRank is highly correlated with the number of nations to which the country's pages connect. Finally, by clustering the countries, we find that the Islamic countries are clustered into a separate group.