PNet: Program for the Estimation and Simulation of p* Exponential Random Graph Models. PNet is a software for the statistical analysis of social network data using Exponential Random Graph Models (ERGM) and Auto-logistic Actor Attribute Models (ALAAM). PNet, XPNet and MPNet run on Windows and are free for noncommercial use. PNet is for the simulation and estimation of ERGMs for one-mode networks.
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References in zbMATH (referenced in 9 articles )
Showing results 1 to 9 of 9.
- Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
- J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
- Schweinberger, Michael; Krivitsky, Pavel N.; Butts, Carter T.; Stewart, Jonathan R.: Exponential-family models of random graphs: inference in finite, super and infinite population scenarios (2020)
- Krivitsky, Pavel N.: Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models (2017)
- Rolls, David A.; Robins, Garry: Minimum distance estimators of population size from snowball samples using conditional estimation and scaling of exponential random graph models (2017)
- Byshkin, Maksym; Stivala, Alex; Mira, Antonietta; Krause, Rolf; Robins, Garry; Lomi, Alessandro: Auxiliary parameter MCMC for exponential random graph models (2016)
- Butts, Carter T.; Almquist, Zack W.: A flexible parameterization for baseline mean degree in multiple-network ERGMs (2015)
- Koskinen, Johan; Lomi, Alessandro: The local structure of globalization (2013)
- Pattison, Philippa E.; Robins, Garry L.; Snijders, Tom A. B.; Wang, Peng: Conditional estimation of exponential random graph models from snowball sampling designs (2013)