The Anatomy of the Facebook Social Graph
Indexed inarxivdatacite
Abstract
We study the structure of the social graph of active Facebook users, the largest social network ever analyzed. We compute numerous features of the graph including the number of users and friendships, the degree distribution, path lengths, clustering, and mixing patterns. Our results center around three main observations. First, we characterize the global structure of the graph, determining that the social network is nearly fully connected, with 99.91% of individuals belonging to a single large connected component, and we confirm the "six degrees of separation" phenomenon on a global scale. Second, by studying the average local clustering coefficient and degeneracy of graph neighborhoods, we show that while the…
Citation impact
784
total citations
- FWCI
- —
- Percentile
- —
- References
- 49
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Assortativity
- Homophily
- Clustering coefficient
- Degree distribution
- Computer science
- Degeneracy (biology)
- Mixing patterns
- Social network (sociolinguistics)
UN Sustainable Development Goals
- Gender equality
No related works found for this paper.