Statistical Network Analysis: Models, Issues, and New Directions

Invited Presentations.- Structural Inference of Hierarchies in Networks.- Heider vs Simmel: Emergent Features in Dynamic Structures.- Joint Group and Topic Discovery from Relations and Text.- Statistical Models for Networks: A Brief Review of Some Recent Research.- Other Presentations.- Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis.- Exploratory Study of a New Model for Evolving Networks.- A Latent Space Model for Rank Data.- A Simple Model for Complex Networks with Arbitrary Degree Distribution and Clustering.- Discrete Temporal Models of Social Networks.- Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time.- Discovering Functional Communities in Dynamical Networks.- Empirical Analysis of a Dynamic Social Network Built from PGP Keyrings.- Extended Abstracts.- A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring.- Age and Geographic Inferences of the LiveJournal Social Network.- Inferring Organizational Titles in Online Communication.- Learning Approximate MRFs from Large Transactional Data.- Panel Discussion.- Panel Discussion.