相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Covariate Regularized Community Detection in Sparse Graphs
Bowei Yan et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2021)
Algebraic Statistics in Practice: Applications to Networks
Marta Casanellas et al.
ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 7, 2020 (2020)
Posterior Contraction Rates for Stochastic Block Models
Prasenjit Ghosh et al.
SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY (2020)
Probabilistic Community Detection With Unknown Number of Communities
Junxian Geng et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2019)
Tensor network factorizations: Relationships between brain structural connectomes and traits
Zhengwu Zhang et al.
NEUROIMAGE (2019)
Goodness of fit for log-linear network models: dynamic Markov bases using hypergraphs
Elizabeth Gross et al.
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS (2017)
Statistical clustering of temporal networks through a dynamic stochastic block model
Catherine Matias et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2017)
A GOODNESS-OF-FIT TEST FOR STOCHASTIC BLOCK MODELS
Jing Lei
ANNALS OF STATISTICS (2016)
INFERENCE USING NOISY DEGREES: DIFFERENTIALLY PRIVATE β-MODEL AND SYNTHETIC GRAPHS
Vishesh Karwa et al.
ANNALS OF STATISTICS (2016)
Estimating the Number of Communities in a Network
M. E. J. Newman et al.
PHYSICAL REVIEW LETTERS (2016)
Bayesian degree-corrected stochastic blockmodels for community detection
Lijun Peng et al.
ELECTRONIC JOURNAL OF STATISTICS (2016)
An Approximation Method for Improving Dynamic Network Model Fitting
Nicole Bohme Carnegie et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2015)
ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks
David R. Hunter et al.
Journal of Statistical Software (2015)
MAXIMUM LILKELIHOOD ESTIMATION IN THE β-MODEL
Alessandro Rinaldo et al.
ANNALS OF STATISTICS (2013)
ASYMPTOTIC NORMALITY OF MAXIMUM LIKELIHOOD AND ITS VARIATIONAL APPROXIMATION FOR STOCHASTIC BLOCKMODELS
Peter Bickel et al.
ANNALS OF STATISTICS (2013)
PSEUDO-LIKELIHOOD METHODS FOR COMMUNITY DETECTION IN LARGE SPARSE NETWORKS
Arash A. Amini et al.
ANNALS OF STATISTICS (2013)
The minimal preprocessing pipelines for the Human Connectome Project
Matthew F. Glasser et al.
NEUROIMAGE (2013)
A Brief History of Statistical Models for Network Analysis and Open Challenges
Stephen E. Fienberg
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2012)
RANDOM GRAPHS WITH A GIVEN DEGREE SEQUENCE
Sourav Chatterjee et al.
ANNALS OF APPLIED PROBABILITY (2011)
Stochastic blockmodels and community structure in networks
Brian Karrer et al.
PHYSICAL REVIEW E (2011)
A nonparametric view of network models and Newman-Girvan and other modularities
Peter J. Bickel et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2009)
Likelihood inference m exponential families and directions of recession
Charles J. Geyer
ELECTRONIC JOURNAL OF STATISTICS (2009)
Goodness of fit of social network models
David R. Hunter et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2008)
An introduction to exponential random graph (p*) models for social networks
Garry Robins et al.
SOCIAL NETWORKS (2007)
Latent space approaches to social network analysis
PD Hoff et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)
Community structure in social and biological networks
M Girvan et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)
Estimation and prediction for stochastic blockstructures
K Nowicki et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)
分享论文
