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P. Krivitsky · SciRah

Researcher profile · Semantic Scholar

P. Krivitsky

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P. Krivitsky — researcher profile on SciRah

h-index: 20
Works: 51
Citations: 2,700

Most-cited papers

A Separable Model for Dynamic Networks
P. Krivitsky, M. Handcock
2010Journal of The Royal Statistical Society Series B-statistical Methodology497 citations Open access
Semantic Scholar
Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity
A. Raftery, M. Newton, J. Satagopan, P. Krivitsky
2006347 citations
Semantic Scholar
Representing Degree Distributions, Clustering, and Homophily in Social Networks With Latent Cluster Random Effects Models
P. Krivitsky, M. Handcock, A. Raftery, P. Hoff
2009Soc. Networks324 citations Open access
Semantic Scholar
Exponential-family random graph models for valued networks
P. Krivitsky
2011Electronic Journal of Statistics291 citations Open access
Semantic Scholar
Fitting Position Latent Cluster Models for Social Networks with latentnet.
P. Krivitsky, M. Handcock
2008Journal of Statistical Software144 citations Open access
Semantic Scholar
Adjusting for Network Size and Composition Effects in Exponential-Family Random Graph Models
P. Krivitsky, M. Handcock, M. Morris
2010Statistical Methodology132 citations Open access
Semantic Scholar
Computational Statistical Methods for Social Network Models
D. R. Hunter, P. Krivitsky, M. Schweinberger
2012Journal of Computational And Graphical Statistics109 citations Open access
Semantic Scholar
Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios
M. Schweinberger, P. Krivitsky, C. Butts, J. Stewart
2017Statistical Science97 citations Open access
Semantic Scholar
On the Question of Effective Sample Size in Network Modeling: An Asymptotic Inquiry
E. Kolaczyk, P. Krivitsky
2011Statistical Science95 citations Open access
Semantic Scholar
INFERENCE FOR SOCIAL NETWORK MODELS FROM EGOCENTRICALLY SAMPLED DATA, WITH APPLICATION TO UNDERSTANDING PERSISTENT RACIAL DISPARITIES IN HIV PREVALENCE IN THE US
P. Krivitsky, M. Morris
2017Annals of Applied Statistics94 citations Open access
Semantic Scholar
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models
P. Krivitsky, David R. Hunter, M. Morris, Chad Klumb
2021Journal of Statistical Software78 citations Open access
Semantic Scholar
Sharing social network data: differentially private estimation of exponential family random‐graph models
Vishesh Karwa, P. Krivitsky, A. Slavkovic
2015arXiv.org62 citations Open access
Semantic Scholar
Differentially Private Exponential Random Graphs
Vishesh Karwa, A. Slavkovic, P. Krivitsky
2014Privacy in Statistical Databases45 citations Open access
Semantic Scholar
Latent Position and Cluster Models for Statistical Networks
P. Krivitsky, M. Handcock
201539 citations
Semantic Scholar
An approximation method for improving dynamic network model fitting
N. Carnegie, P. Krivitsky, D. R. Hunter, S. Goodreau
2014Journal of Computational And Graphical Statistics33 citations Open access
Semantic Scholar
Exponential-family Random Graph Models for Rank-order Relational Data
P. Krivitsky, C. Butts
201232 citations Open access
Semantic Scholar
Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models
P. Krivitsky
2017Computational Statistics & Data Analysis30 citations
Semantic Scholar
EXPONENTIAL-FAMILY RANDOM GRAPH MODELS FOR MULTI-LAYER NETWORKS
P. Krivitsky, L. Koehly, C. Marcum
2019Psychometrika29 citations Open access
Semantic Scholar
Modeling valued networks with statnet
P. Krivitsky, C. Butts
201522 citations
Semantic Scholar
Modeling of Dynamic Networks based on Egocentric Data with Durational Information
P. Krivitsky
202221 citations
Semantic Scholar
Bayesian Graph Convolutional Neural Networks via Tempered MCMC
Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, P. Krivitsky
2021IEEE Access20 citations Open access
Semantic Scholar
Revisiting Bayesian autoencoders with MCMC
Rohitash Chandra, Mahir Jain, Manavendra Maharana, P. Krivitsky
2021IEEE Access20 citations Open access
Semantic Scholar
A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks
P. Krivitsky, P. Coletti, N. Hens
2022Journal of the American Statistical Association19 citations Open access
Semantic Scholar
Fit, Simulate and Diagnose Exponential-Family Models forNetworks
M. Handcock, D. R. Hunter, C. Butts, S. Goodreau +2 more
201517 citations
Semantic Scholar
ergm 4 . 0 : New features and improvements A Preprint
P. Krivitsky, M. Morris
202113 citations
Semantic Scholar
Impact of Survey Design on Estimation of Exponential-Family Random Graph Models from Egocentrically-Sampled Data
P. Krivitsky, M. Morris, M. Bojanowski
2021Soc. Networks11 citations Open access
Semantic Scholar
Foundations of Finite-, Super-, and Infinite-Population Random Graph Inference
M. Schweinberger, P. Krivitsky, C. Butts
201711 citations
Semantic Scholar
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
S. Forouzandeh, P. Krivitsky, Rohitash Chandra
2025Expert systems with applications10 citations
Semantic Scholar
Dynamic Extensions for Network Objects
C. Butts, Ayn Leslie-Cook, P. Krivitsky, Skye Bender-deMoll
201610 citations
Semantic Scholar
Investigating foreign portfolio investment holdings: Gravity model with social network analysis
L. Mazur, T. Suesse, P. Krivitsky
20209 citations
Semantic Scholar
ergm 4: Computational Improvements
P. Krivitsky, D. R. Hunter, Martina Morris, Chad Klumb University of New South Wales +2 more
20227 citations
Semantic Scholar
Capturing Multivariate Spatial Dependence: Model, Estimate and then Predict
N. Cressie, S. Burden, Walter R. Davis, P. Krivitsky +3 more
20157 citations Open access
Semantic Scholar
Fit, Simulate and Diagnose Models for Network Evolution Based onExponential-Family Random Graph Models
P. Krivitsky, M. Handcock
20155 citations
Semantic Scholar
User-specified terms for the statnet suite of packages
M. Handcock, D. R. Hunter, C. Butts, S. Goodreau +2 more
20135 citations
Semantic Scholar
Network neighbor effects on customer churn in cell phone networks
P. Krivitsky, P. Ferreira, Rahul Telang
20115 citations
Semantic Scholar
A note on the role of projectivity in likelihood-based inference for random graph models
M. Schweinberger, P. Krivitsky, C. Butts
20174 citations
Semantic Scholar
Likelihood-based inference for exponential-family random graph models via linear programming
P. Krivitsky, Alina R. Kuvelkar, David R. Hunter
2022Electronic Journal of Statistics3 citations Open access
Semantic Scholar
Balance correlations, agentic zeros, and networks: The structure of 192 years of war and peace
D. Dekker, D. Krackhardt, P. Doreian, P. Krivitsky
2023PLoS ONE2 citations Open access
Semantic Scholar
Correction
P. Krivitsky, P. Coletti, Niel Hens
2024Journal of the American Statistical Association1 citations Open access
Semantic Scholar
Rejoinder to Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks”
P. Krivitsky, P. Coletti, N. Hens
2023Journal of the American Statistical Association1 citations Open access
Semantic Scholar
Fit, Simulate and Diagnose Exponential-Family Models for Networks [R package ergm version 3.11.0]
M. Handcock, D. R. Hunter, C. Butts, S. Goodreau +2 more
20201 citations
Semantic Scholar
Quantifying the Protection Level of a Noise Candidate for Noise Multiplication Masking Scheme
Yue Ma, Yan-Xia Lin, P. Krivitsky, Bradley Wakefield
2018Privacy in Statistical Databases1 citations Open access
Semantic Scholar
A comparison of likelihood-based methods for size-biased sampling
Victoria L. Leaver, R. G. Clark, P. Krivitsky, C. Birrell
2023Journal of Statistical Planning and Inference0 citations Open access
Semantic Scholar
Modeling Tie Duration in ERGM-Based Dynamic Network Models
P. Krivitsky
2022arXiv.org0 citations Open access
Semantic Scholar
Research Online Research Online Sharing social network data: differentially private estimation of exponential Sharing social network data: differentially private estimation of exponential family random-graph models family random-graph models
Vishesh Karwa, P. Krivitsky, A. Slavkovic
20200 citations
Semantic Scholar
Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models [R package tergm version 3.7.0]
P. Krivitsky, M. Handcock
20200 citations
Semantic Scholar
Dynamic Extensions for Network Objects [R package networkDynamic version 0.10.1]
C. Butts, Ayn Leslie-Cook, P. Krivitsky, Skye Bender-deMoll
20200 citations
Semantic Scholar
Reviewing the Methods of Estimating the Density Function Based on Masked Data
Yan-Xia Lin, P. Krivitsky
2018Privacy in Statistical Databases0 citations Open access
Semantic Scholar
Referees
E. Havari, K. Hayakawa, M. Haynes, K. He +81 more
20160 citations
Semantic Scholar
Common R Scripts and Utilities Used by the Statnet ProjectSoftware
P. Krivitsky
20150 citations
Semantic Scholar

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