Review of statistical network analysis: models, algorithms, and software

The analysis of network data is an area that is rapidly growing, both within and outside of the discipline of statistics.

• Publication year

  2012

• Venue

  Statistical analysis and data mining

• Publication date

  2012-08-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1002/sam.11146
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• R: A language and environment for statistical computing.

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• Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood

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• Estimating and understanding exponential random graph models

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• Exponential-family random graph models for valued networks.

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• Visual Analysis of Large Graphs: State‐of‐the‐Art and Future Research Challenges

  2011cited by this paper
• The method of moments and degree distributions for network models

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• Semi-supervised classification and betweenness computation on large, sparse, directed graphs

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• spa: Semi-Supervised Semi-Parametric Graph-Based Estimation in R

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• The PageRank Problem

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• The Spread of Alcohol Consumption Behavior in a Large Social Network

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• Random graphs with a given degree sequence

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• Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines

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• A mixture of experts latent position cluster model for social network data

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• Adjusting for Network Size and Composition Effects in Exponential-Family Random Graph Models.

  2010cited by this paper
• The Spread of Evidence-Poor Medicine via Flawed Social-Network Analysis

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• Spectral clustering and the high-dimensional stochastic blockmodel

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• Stochastic blockmodels with growing number of classes

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• Bayesian inference for exponential random graph models

  2010cited by this paper
• Epidemics and Rumours in Complex Networks

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• Detecting Highly Overlapping Communities with Model-Based Overlapping Seed Expansion

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• PageRank Problem, Survey And Future Research Directions

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• Fully Automatic Visualisation of Overlapping Sets

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• Gephi: An Open Source Software for Exploring and Manipulating Networks

  2009cited by this paper
• Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models

  2009cited by this paper
• A framework for the comparison of maximum pseudo-likelihood and maximum likelihood estimation of exponential family random graph models

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• Latent Dirichlet Allocation

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• Overlapping stochastic block models with application to the French political blogosphere

  2009cited by this paper
• The Spread of Obesity in a Large Social Network over 32 Years

  2009cited by this paper
• A Survey of Statistical Network Models

  2009cited by this paper
• Introduction to Semi-Supervised Learning

  2009cited by this paper
• Hierarchical relational models for document networks

  2009cited by this paper
• Variational Bayesian inference for the Latent Position Cluster Model

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• Integrated network analysis platform for protein-protein interactions

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• A nonparametric view of network models and Newman–Girvan and other modularities

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• A state-space mixed membership blockmodel for dynamic network tomography

  2008cited by this paper
• Goodness of Fit of Social Network Models

  2008cited by this paper
• Comparing Community Structure to Characteristics in Online Collegiate Social Networks

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• On Modularity Clustering

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• Fast collapsed gibbs sampling for latent dirichlet allocation

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• Graphical Models, Exponential Families, and Variational Inference

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• Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study

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• Semi-supervised Classification from Discriminative Random Walks

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• Semi-supervised learning by disagreement

  2008cited by this paper
• ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks.

  2008cited by this paper
• Mixed Membership Stochastic Blockmodels

  2007cited by this paper
• Statistical Network Analysis: Models, Issues, and New Directions - ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers

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• On Finding Graph Clusterings with Maximum Modularity

  2007cited by this paper
• Nature Methods

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• Recent developments in exponential random graph (p*) models for social networks

  2007influential reference
• Model‐based clustering for social networks

  2007influential reference
• A tutorial on spectral clustering

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• An introduction to exponential random graph (p*) models for social networks

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• Modeling homophily and stochastic equivalence in symmetric relational data

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• Some unique properties of eigenvector centrality

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• --1 CONTENTS

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• High-dimensional graphs and variable selection with the Lasso

  2006cited by this paper
• Modularity and community structure in networks.

  2006cited by this paper
• Discrete Temporal Models of Social Networks

  2006cited by this paper
• Random graphs

  2006cited by this paper
• Resolution limit in community detection

  2006cited by this paper
• Inference in Curved Exponential Family Models for Networks

  2006cited by this paper
• The igraph software package for complex network research

  2006cited by this paper
• Statistical Models for Networks: A Brief Review of Some Recent Research

  2006cited by this paper
• Pattern Recognition and Machine Learning

  2006cited by this paper
• Models and methods in social network analysis

  2006cited by this paper
• Positional Estimation Within a Latent Space Model for Networks

  2006cited by this paper
• CFinder: locating cliques and overlapping modules in biological networks

  2006cited by this paper
• Center for Studies in Demography and Ecology Assessing Degeneracy in Statistical Models of Social Networks

  2005cited by this paper
• A Spectral Clustering Approach To Finding Communities in Graph

  2005cited by this paper
• Software for social network analysis

  2005cited by this paper
• A Survey on PageRank Computing

  2005cited by this paper
• Model-based Clustering for Social Networks

  2005cited by this paper
• Bilinear Mixed-Effects Models for Dyadic Data

  2005cited by this paper
• Uncovering the overlapping community structure of complex networks in nature and society

  2005cited by this paper
• Comparing community structure identification

  2005cited by this paper
• Semi-supervised Learning on Directed Graphs

  2004cited by this paper
• Pajek - Analysis and Visualization of Large Networks

  2004cited by this paper
• A Regularization Framework for Learning from Graph Data

  2004cited by this paper
• p2: a random effects model with covariates for directed graphs

  2004cited by this paper
• Sexual network analysis of a gonorrhoea outbreak

  2004cited by this paper
• Tulip - A Huge Graph Visualization Framework

  2004cited by this paper
• Computational approaches to motor learning by imitation.

  2003cited by this paper
• Cytoscape: a software environment for integrated models of biomolecular interaction networks.

  2003cited by this paper
• Bilinear Mixed Eects Models for Dyadic Data

  2003cited by this paper
• Software for visual social network analysis

  2002cited by this paper
• Markov Chain Monte Carlo Estimation of Exponential Random Graph Models

  2002influential reference
• Latent Space Approaches to Social Network Analysis

  2002influential reference
• Community structure in social and biological networks

  2001cited by this paper
• Estimation and Prediction for Stochastic Blockstructures

  2001cited by this paper
• Drawing graphs: methods and models

  2001cited by this paper
• Mapping Networks of Terrorist Cells

  2001cited by this paper
• On Spectral Clustering: Analysis and an algorithm

  2001cited by this paper
• Graph Visualization and Navigation in Information Visualization: A Survey

  2000cited by this paper
• A p* primer: logit models for social networks

  1999cited by this paper
• Authoritative sources in a hyperlinked environment

  1999influential reference
• The Anatomy of a Large-Scale Hypertextual Web Search Engine

  1998cited by this paper
• Adaptive computation and machine learning

  1998cited by this paper
• Normalized cuts and image segmentation

  1997cited by this paper
• Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure

  1997cited by this paper
• LOGIT MODELS AND LOGISTIC REGRESSIONS FOR SOCIAL NETWORKS: I. AN INTRODUCTION TO MARKOV GRAPHS AND p* STANLEY WASSERMAN UNIVERSITY OF ILLINOIS

  1996cited by this paper

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• Spherical latent space models for social network analysis

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• Dynamic Latent Space Model With Position Clusters and Its Application in International Trade Network

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• Teaching Bayesian Reasoning as a Pathway Toward Active Thinking and Explainable AI

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• Stochastic Block Models for Complex Network Analysis: A Survey

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• A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data

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• Assessing bias and robustness of social network metrics using GPS based radio-telemetry data

  2023cites this paper
• Cohesion and segregation in the value migration network: Evidence from network partitioning based on sector classification and clustering

  2023cites this paper
• A network surveillance approach using machine learning based control charts

  2023cites this paper
• Latent Position Network Models

  2023cites this paper
• Networks as mediating variables: a Bayesian latent space approach

  2022cites this paper
• A Comparative Assessment of Regularized Regression Techniques for Modeling the Mechanical Properties of Rubberized Concrete

  2022cites this paper
• A Latent Shrinkage Position Model for Binary and Count Network Data

  2022cites this paper
• Stochastic Block Smooth Graphon Model

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• Latent Space Network Modelling with Hyperbolic and Spherical Geometries

  2021cites this paper
• A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015

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• Gene Regulatory Network Inference

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• collpcm: Bayesian model selection in latent position cluster models for networks

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• Latent Space Network Modelling with Continuous and Discrete Geometries.

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• A statistical model for the analysis of mobility tables as weighted networks with an application to faculty hiring networks

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• Highly scalable maximum likelihood and conjugate Bayesian inference for ERGMs on graph sets with equivalent vertices

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• GLAMLE: inference for multiview network data in the presence of latent variables, with an application to commodities trading

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• Mixture models and networks: The stochastic blockmodel

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• Continuous latent position models for instantaneous interactions

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• Assessing Stakeholder’s Collaboration in the Management of Municipal Solid Waste in Monrovia, Liberia

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• Advancements in latent space network modelling

  2020influential citation
• Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons

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• Maritime Transport Network Analysis: A Critical Review of Analytical Methods and Applications

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• Large-scale estimation of random graph models with local dependence

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• NETWORK ANALYSIS: A MULTIVARIATE STATISTICAL APPROACH FOR HEALTH SCIENCE RESEARCH

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• Robustness and rich clubs in collaborative learning groups: a learning analytics study using network science

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• Quantile regression for massive data with network-induced dependence, and application to the New York statewide planning and research cooperative system

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• EM-based smooth graphon estimation using MCMC and spline-based approaches

  2019cites this paper
• Network Clustering Analysis Using Mixture Exponential-Family Random Graph Models and Its Application in Genetic Interaction Data

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• Bayesian and Spline based Approaches for (EM based) Graphon Estimation.

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• Model-Based Clustering and Classification for Data Science: With Applications in R

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• A Learning Analytics Study of the Effect of Group Size on Social Dynamics and Performance in Online Collaborative Learning

  2019cites this paper
• Bibliography

  2019cites this paper
• Maritime Transport Network Analysis: A Critical Review of Analytical Methods and Applications

  2019cites this paper
• Variable Selection

  2019cites this paper
• Model-based Classification

  2019cites this paper
• Hardware/Software Co-design

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• Dealing with Difficulties

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• Computational Stem Cell Biology: Methods and Protocols

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• A Mixture Model Approach for Clustering Bipartite Networks

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  2019cites this paper
• Non-Gaussian Model-based Clustering

  2019cites this paper
• Network data

  2019cites this paper
• Other Topics

  2019cites this paper
• Model-based Clustering with Covariates

  2019cites this paper
• Model-based Clustering: Basic Ideas

  2019cites this paper
• Introduction

  2019cites this paper
• Model-Based Clustering and Classification for Data Science

  2019cites this paper
• Latent Space Modeling of Hypergraph Data

  2019cites this paper
• Adapting Stochastic Block Models to Power-Law Degree Distributions

  2019cites this paper
• Semi-supervised Clustering and Classification

  2019cites this paper
• New methods in time series analysis : univariate testing and network autoregression modelling

  2019cites this paper
• Bayesian consensus clustering in multiplex networks.

  2019cites this paper
• Discrete Data Clustering

  2019cites this paper
• Preface

  2019cites this paper
• Latent Space Representations of Hypergraphs

  2019cites this paper
• High-dimensional Data

  2019cites this paper
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  2018cites this paper
• Graphical Models Over Heterogeneous Domains and for Multilevel Networks

  2018cites this paper
• The effect of temporal aggregation level in social network monitoring

  2018cites this paper
• Applying argumentation to structure and visualize multi-dimensional opinion spaces

  2018cites this paper
• Change we can believe in: Comparing longitudinal network models on consistency, interpretability and predictive power

  2018cites this paper
• Change detection in dynamic attributed networks

  2018cites this paper
• Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel

  2018cites this paper
• Node-specific effects in latent space modelling of multidimensional networks

  2018cites this paper
• A multilayer exponential random graph modelling approach for weighted networks

  2018cites this paper
• Computationally efficient inference for latent position network models

  2018cites this paper
• Network Estimation via Graphon With Node Features

  2018cites this paper
• Latent space modelling of multidimensional networks with application to the exchange of votes in Eurovision song contest

  2018cites this paper
• The Sparse Latent Position Model for nonnegative weighted networks

  2018cites this paper
• Hierarchical Network Item Response Modeling for Discovering Differences Between Innovation and Regular School Systems in Korea

  2018cites this paper
• How the study of online collaborative learning can guide teachers and predict students’ performance in a medical course

  2018cites this paper
• Multilevel network item response modelling for discovering differences between innovation and regular school systems in Korea

  2018cites this paper
• Bayesian networks: Theory, applications and sensitivity issues

  2017cites this paper
• Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic

  2017cites this paper
• Social media big data integration: A new approach based on calibration

  2017cites this paper
• Visualising and examining sequential actions as behavioural paths that can be interpreted as markers of complex behaviours

  2017cites this paper
• On the Interpretation and Use of Mediation: Multiple Perspectives on Mediation Analysis

  2017cites this paper
• Bayesian exponential random graph modelling of interhospital patient referral networks

  2017cites this paper
• Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios

  2017cites this paper
• LATENT SPACE MODELS FOR MULTIVIEW NETWORK DATA.

  2017cites this paper
• Foundations of Finite-, Super-, and Infinite-Population Random Graph Inference

  2017cites this paper
• Novel quality metrics for power system diagrams

  2016cites this paper
• Comparing Administration of Hospital Wastes Using Social Network Analysis

  2016cites this paper
• Unified Statistical Theory of Spectral Graph Analysis

  2016cites this paper
• The stochastic topic block model for the clustering of vertices in networks with textual edges

  2016cites this paper
• Sequential actions as markers of behavioural and cognitive processes: Extracting empirical pathways from data streams of complex tasks

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• Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework

  2016cites this paper
• Rosé wine volatile composition and the preferences of Chinese wine professionals.

  2016cites this paper
• Precautionary rumor containment via trustworthy people in social networks

  2016cites this paper
• Extensions of exponential random graph models for network data analysis

  2016cites this paper
• Data visualization via latent variables and mixture models: a brief survey

  2016cites this paper