A Social Network Analysis of Articles on Social Network Analysis

Abstract

A collection of articles on the statistical modelling and inference of social networks is analysed in a network fashion. The references of these articles are used to construct a citation network data set, which is almost a directed acyclic graph because only existing articles can be cited. A mixed membership stochastic block model is then applied to this data set to soft cluster the articles. The results obtained from a Gibbs sampler give us insights into the influence and the categorisation of these articles.

arXiv comment47 pages, 22 figures, 1 table

References in corpus (23)

• Emergence of scaling in random networks
• Statistical mechanics of complex networks
• The structure and function of complex networks
• Community structure in social and biological networks
• Modularity and community structure in networks
• Community detection in graphs
• The diameter of the world wide web
• Random graphs with arbitrary degree distributions and their applications
• Large-scale topological and dynamical properties of Internet
• Community detection in networks: Modularity optimization and maximum likelihood are equivalent
• Degree Distributions of Growing Networks
• The Simultaneous Evolution of Author and Paper Networks
• Uncovering latent structure in valued graphs: A variational approach
• Coauthorship and Citation Networks for Statisticians
• Nonparametric weighted stochastic block models
• Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model
• Growing network model for community with group structure
• Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution
• Locally Adaptive Dynamic Networks
• A Tractable Fully Bayesian Method for the Stochastic Block Model
• Topics in social network analysis and network science
• Analysis of Partially Observed Networks via Exponential-family Random Network Models
• Dynamic spatial and network sampling