A separable model for dynamic networks PN Krivitsky, MS Handcock Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014 | 541 | 2014 |
statnet: Software tools for the statistical analysis of network data MS Handcock, DR Hunter, CT Butts, SM Goodreau, PN Krivitsky, ... The Statnet Project (http://www. statnet. org), 2016 | 483* | 2016 |
Estimating the integrated likelihood via posterior simulation using the harmonic mean identity AE Raftery, MA Newton, JM Satagopan, PN Krivitsky bepress, 2006 | 414 | 2006 |
Exponential-family random graph models for valued networks PN Krivitsky Electronic Journal of Statistics 6, 1100-1128, 2012 | 350 | 2012 |
Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models PN Krivitsky, MS Handcock, AE Raftery, PD Hoff Social networks 31 (3), 204-213, 2009 | 347 | 2009 |
Package ‘lme4’: linear mixed-effects models using ‘Eigen’and S4 D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... CRAN Repos 1, 1-113, 2016 | 342 | 2016 |
Fitting position latent cluster models for social networks with latentnet PN Krivitsky, MS Handcock Journal of Statistical Software 24 (5), 1-23, 2008 | 185 | 2008 |
Linear mixed-effect models using Eigen and S4 D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... R package version 1, 2014 | 162 | 2014 |
Adjusting for network size and composition effects in exponential-family random graph models PN Krivitsky, MS Handcock, M Morris Statistical methodology 8 (4), 319-339, 2011 | 161 | 2011 |
Computational statistical methods for social network models DR Hunter, PN Krivitsky, M Schweinberger Journal of Computational and Graphical Statistics 21 (4), 856-882, 2012 | 133 | 2012 |
tergm: Fit, simulate and diagnose models for network evolution based on exponential-family random graph models PN Krivitsky, MS Handcock The Statnet Project (http://www. statnet. org). R package version 3 (0), 2016 | 113* | 2016 |
On the question of effective sample size in network modeling: An asymptotic inquiry ED Kolaczyk, PN Krivitsky Statistical science: a review journal of the Institute of Mathematical …, 2015 | 110 | 2015 |
Exponential-Family Models of Random Graphs M Schweinberger, PN Krivitsky, CT Butts, JR Stewart Statistical Science 35 (4), 627-662, 2020 | 104 | 2020 |
Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US PN Krivitsky, M Morris The annals of applied statistics 11 (1), 427, 2017 | 99 | 2017 |
R-Core.(2020). car: Companion to Applied Regression (3.0-10)[Computer software] J Fox, S Weisberg, B Price, D Adler, D Bates, G Baud-Bovy, B Bolker, ... | 81 | |
ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks. The Statnet Project, R package version 3.9. 4 MS Handcock, DR Hunter, CT Butts, SM Goodreau, P Krivitsky, M Morris | 63* | 2018 |
ergm 4: New features PN Krivitsky, DR Hunter, M Morris, C Klumb arXiv preprint arXiv:2106.04997, 2021 | 58* | 2021 |
latentnet: Latent position and cluster models for statistical networks PN Krivitsky, MS Handcock Seattle, WA. Version 2, 2007 | 56 | 2007 |
Sharing social network data: differentially private estimation of exponential family random-graph models V Karwa, PN Krivitsky, AB Slavković Journal of the Royal Statistical Society Series C: Applied Statistics 66 (3 …, 2017 | 54 | 2017 |
networkDynamic: Dynamic extensions for network objects CT Butts, A Leslie-Cook, PN Krivitsky, S Bender-deMoll R package version 0.6, 2014 | 45 | 2014 |