References in zbMATH (referenced in 61 articles , 1 standard article )

Showing results 1 to 20 of 61.
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  1. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  2. Austen Bernardi, Jessica M.J. Swanson: CycFlowDec: A Python module for decomposing flow networks using simple cycles (2021) not zbMATH
  3. Matteo Magnani, Luca Rossi, Obaida Hanteer, Davide Vega: Analysis of Multiplex Social Networks with R (2021) not zbMATH
  4. Yu, Yue; Grazioli, Gianmarc; Phillips, Nolan E.; Butts, Carter T.: Local graph stability in exponential family random graph models (2021)
  5. Beaudry, Isabelle S.; Gile, Krista J.: Correcting for differential recruitment in respondent-driven sampling data using ego-network information (2020)
  6. Elmasri, Mohamad; Farrell, Maxwell J.; Davies, T. Jonathan; Stephens, David A.: A hierarchical Bayesian model for predicting ecological interactions using scaled evolutionary relationships (2020)
  7. Henry, Teague R.; Gates, Kathleen M.; Prinstein, Mitchell J.; Steinley, Douglas: Modeling heterogeneous peer assortment effects using finite mixture exponential random graph models (2020)
  8. J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
  9. Lebacher, Michael; Thurner, Paul W.; Kauermann, Göran: Exploring dependence structures in the international arms trade network: a network autocorrelation approach (2020)
  10. Lee, Kevin H.; Xue, Lingzhou; Hunter, David R.: Model-based clustering of time-evolving networks through temporal exponential-family random graph models (2020)
  11. 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)
  12. Xu Dong, Luis Castro, Nazrul Shaikh: fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks (2020) not zbMATH
  13. Bauer, Verena; Fürlinger, Karl; Kauermann, Göran: A note on parallel sampling in Markov graphs (2019)
  14. Krampe, Jonas: Time series modeling on dynamic networks (2019)
  15. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018) not zbMATH
  16. Griffin, Maryclare; Gile, Krista J.; Fredricksen-Goldsen, Karen I.; Handcock, Mark S.; Erosheva, Elena A.: A simulation-based framework for assessing the feasibility of respondent-driven sampling for estimating characteristics in populations of lesbian, gay and bisexual older adults (2018)
  17. Kim, Bomin; Lee, Kevin H.; Xue, Lingzhou; Niu, Xiaoyue: A review of dynamic network models with latent variables (2018)
  18. McLaughlin, Katherine R.; EmBree, Joshua D.: Empirical assessment of programs to promote collaboration: a network model approach (2018)
  19. Michael Schweinberger; Pamela Luna: hergm: Hierarchical Exponential-Family Random Graph Models (2018) not zbMATH
  20. Nath, Madhurima; Ren, Yihui; Khorramzadeh, Yasamin; Eubank, Stephen: Determining whether a class of random graphs is consistent with an observed contact network (2018)

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