Introduction to papers on the modeling and analysis of network data
arXiv:1010.3882 · doi:10.1214/10-AOAS346
Abstract
Introduction to papers on the modeling and analysis of network data
Published in at http://dx.doi.org/10.1214/10-AOAS346 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
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- Estimating and understanding exponential random graph models
- Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
- Phase transitions in exponential random graphs
- On the phase transition curve in a directed exponential random graph model
- Introduction to papers on the modeling and analysis of network data---II
- Asymptotic structure and singularities in constrained directed graphs
- Asymptotic quantization of exponential random graphs
- Atomic subgraphs and the statistical mechanics of networks
- Reciprocity in directed networks
- Asymptotics for Sparse Exponential Random Graph Models
- Asymptotic Structure of Constrained Exponential Random Graph Models
- Phase transitions in edge-weighted exponential random graphs
- Phase Transitions in Edge-Weighted Exponential Random Graphs: Near-Degeneracy and Universality
- Estimating Population Size with Link-Tracing Sampling
- A cluster expansion approach to exponential random graph models
- Dimension reduction in vertex-weighted exponential random graphs
- Extremal Behavior in Exponential Random Graphs
- Random Networks, Graphical Models, and Exchangeability