References
“1.1: Basic Definitions and
Concepts.” 2014. Statistics LibreTexts.
https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Shafer_and_Zhang)/01%3A_Introduction_to_Statistics/1.01%3A_Basic_Definitions_and_Concepts.
Barrett, Tyson, Matt Dowle, and Arun Srinivasan. 2023. Data.table:
Extension of ‘Data.frame‘. https://r-datatable.com.
Bell, Brooke M., Donna Spruijt-Metz, George G. Vega Yon, Abu S. Mondol,
Ridwan Alam, Meiyi Ma, Ifat Emi, John Lach, John A. Stankovic, and Kayla
De La Haye. 2019. “Sensing Eating Mimicry Among Family
Members.” Translational Behavioral Medicine. https://doi.org/10.1093/tbm/ibz051.
Brandenberger, Laurence. 2020. “Interdependencies in
Conflict Dynamics: Analyzing Endogenous
Patterns in Conflict Event Data Using Relational Event
Models.” In Computational Conflict
Research, edited by Emanuel Deutschmann, Jan Lorenz, Luis G.
Nardin, Davide Natalini, and Adalbert F. X. Wilhelm, 67–80.
Computational Social Sciences. Cham:
Springer International Publishing. https://doi.org/10.1007/978-3-030-29333-8_4.
Butts, Carter T., Alessandro Lomi, Tom A. B. Snijders, and Christoph
Stadtfeld. 2023. “Relational Event Models in Network
Science.” Network Science 11 (2): 175–83. https://doi.org/10.1017/nws.2023.9.
Casella, George, and Roger L. Berger. 2021. Statistical
Inference. Cengage Learning.
Fellows, Ian E. 2012. “Exponential Family Random Network
Models.” ProQuest Dissertations and Theses. PhD thesis.
https://login.ezproxy.lib.utah.edu/login?url=https://www.proquest.com/dissertations-theses/exponential-family-random-network-models/docview/1221548720/se-2.
Frank, O, and David Strauss. 1986. “Markov
graphs.” Journal of the American Statistical
Association 81 (395): 832–42. https://doi.org/10.2307/2289017.
Gelman, Andrew. 2018. “The Failure of Null
Hypothesis Significance Testing When Studying Incremental
Changes, and What to Do About
It.” Personality and Social Psychology Bulletin
44 (1): 16–23. https://doi.org/10.1177/0146167217729162.
Geyer, Charles J., and Elizabeth A. Thompson. 1992. “Constrained
Monte Carlo Maximum Likelihood for Dependent
Data.” Journal of the Royal Statistical Society.
Series B (Methodological) 54 (3): 657–99. https://www.jstor.org/stable/2345852.
Greenland, Sander, Stephen J. Senn, Kenneth J. Rothman, John B. Carlin,
Charles Poole, Steven N. Goodman, and Douglas G. Altman. 2016.
“Statistical Tests, P Values, Confidence Intervals,
and Power: A Guide to Misinterpretations.” European Journal
of Epidemiology 31 (4): 337–50. https://doi.org/10.1007/s10654-016-0149-3.
Handcock, Mark S., David R. Hunter, Carter T. Butts, Steven M. Goodreau,
Pavel N. Krivitsky, and Martina Morris. 2023. Ergm: Fit, Simulate
and Diagnose Exponential-Family Models for Networks. The Statnet
Project (https://statnet.org). https://CRAN.R-project.org/package=ergm.
Haye, Kayla de la, Heesung Shin, George G. Vega Yon, and Thomas W.
Valente. 2019. “Smoking Diffusion Through
Networks of Diverse, Urban American
Adolescents over the High School Period.”
Journal of Health and Social Behavior. https://doi.org/10.1177/0022146519870521.
Holland, Paul W., and Samuel Leinhardt. 1981. “An exponential family of probability distributions for
directed graphs.” Journal of the American Statistical
Association 76 (373): 33–50. https://doi.org/10.2307/2287037.
Hunter, David R. 2007. “Curved Exponential Family Models for
Social Networks.” Social Networks 29 (2): 216–30. https://doi.org/10.1016/j.socnet.2006.08.005.
Hunter, David R., Mark S. Handcock, Carter T. Butts, Steven M. Goodreau,
and Martina Morris. 2008. “ergm: A
Package to Fit, Simulate and Diagnose Exponential-Family Models for
Networks.” Journal of Statistical Software 24 (3): 1–29.
https://doi.org/10.18637/jss.v024.i03.
Karrer, Brian, and M. E. J. Newman. 2011. “Stochastic Blockmodels
and Community Structure in Networks.” Physical Review E
83 (1): 016107. https://doi.org/10.1103/PhysRevE.83.016107.
Koskinen, Johan, and Galina Daraganova. 2022. “Bayesian
Analysis of Social Influence.”
Journal of the Royal Statistical Society Series A: Statistics in
Society 185 (4): 1855–81. https://doi.org/10.1111/rssa.12844.
Krivitsky, Pavel N. 2023. Ergm.multi: Fit, Simulate and Diagnose
Exponential-Family Models for Multiple or Multilayer Networks. The
Statnet Project (https://statnet.org). https://CRAN.R-project.org/package=ergm.multi.
Krivitsky, Pavel N., Pietro Coletti, and Niel Hens. 2023a. “A
Tale of Two Datasets:
Representativeness and Generalisability of
Inference for Samples of
Networks.” Journal of the American Statistical
Association 0 (0): 1–21. https://doi.org/10.1080/01621459.2023.2242627.
———. 2023b. “Rejoinder to Discussion of
‘A Tale of Two Datasets:
Representativeness and Generalisability of
Inference for Samples of
Networks’.” Journal of the American
Statistical Association 118 (544): 2235–38. https://doi.org/10.1080/01621459.2023.2280383.
Leifeld, Philip. 2013. “Texreg :
Conversion of Statistical Model Output in
R to L A T E X and HTML
Tables.” Journal of Statistical Software 55 (8).
https://doi.org/10.18637/jss.v055.i08.
LeSage, James P. 2008. “An Introduction to
Spatial Econometrics.” Revue
d’économie Industrielle 123 (123): 19–44. https://doi.org/10.4000/rei.3887.
LeSage, James P., and R. Kelley Pace. 2014. “The Biggest
Myth in Spatial Econometrics.”
Econometrics 2 (4): 217–49. https://doi.org/10.2139/ssrn.1725503.
Lusher, Dean, Johan Koskinen, and Garry Robins. 2013. Exponential
Random Graph Models for Social Networks:
Theory, Methods, and
Applications. Cambridge University Press.
R Core Team. 2023. R: A Language and Environment for Statistical
Computing. Vienna, Austria: R Foundation for Statistical Computing.
https://www.R-project.org/.
Robins, Garry, Philippa Pattison, and Peter Elliott. 2001.
“Network Models for Social Influence Processes.”
Psychometrika 66 (2): 161–89. https://doi.org/10.1007/BF02294834.
Robins, Garry, Pip Pattison, Yuval Kalish, and Dean Lusher. 2007.
“An introduction to exponential random graph
(p*) models for social networks.” Social Networks
29 (2): 173–91. https://doi.org/10.1016/j.socnet.2006.08.002.
Roger Bivand. 2022. “R Packages for Analyzing Spatial Data: A
Comparative Case Study with Areal Data.” Geographical
Analysis 54 (3): 488–518. https://doi.org/10.1111/gean.12319.
Slaughter, Andrew J., and Laura M. Koehly. 2016. “Multilevel
Models for Social Networks: Hierarchical Bayesian Approaches to
Exponential Random Graph Modeling.” Social Networks 44:
334–45. https://doi.org/10.1016/j.socnet.2015.11.002.
Snijders, Tom a B. 1996. “Stochastic Actor-Oriented Models for
Network Change.” The Journal of Mathematical Sociology
21 (1-2): 149–72. https://doi.org/10.1080/0022250X.1996.9990178.
Snijders, Tom A B, Philippa E Pattison, Garry L Robins, and Mark S
Handcock. 2006. “New specifications for
exponential random graph models.” Sociological
Methodology 36 (1): 99–153. https://doi.org/10.1111/j.1467-9531.2006.00176.x.
Snijders, Tom A. B. 2017. “Stochastic Actor-Oriented
Models for Network Dynamics.” Annual
Review of Statistics and Its Application 4 (1): 343–63. https://doi.org/10.1146/annurev-statistics-060116-054035.
Stadtfeld, Christoph, Tom A. B. Snijders, Christian Steglich, and
Marijtje van Duijn. 2020. “Statistical Power in
Longitudinal Network Studies.” Sociological
Methods & Research 49 (4): 1103–32. https://doi.org/10.1177/0049124118769113.
Stivala, Alex D., H. Colin Gallagher, David A. Rolls, Peng Wang, and
Garry L. Robins. 2020. “Using Sampled Network Data With The
Autologistic Actor Attribute Model.” arXiv.
https://doi.org/10.48550/arXiv.2002.00849.
Stivala, Alex, Garry Robins, and Alessandro Lomi. 2020.
“Exponential Random Graph Model Parameter Estimation for Very
Large Directed Networks.” PLoS ONE 15 (1): 1–23. https://doi.org/10.1371/journal.pone.0227804.
Tanaka, Kyosuke, and George G. Vega Yon. 2024. “Imaginary Network
Motifs: Structural Patterns of False Positives and
Negatives in Social Networks.” Social Networks 78
(July): 65–80. https://doi.org/10.1016/j.socnet.2023.11.005.
Valente, Thomas W., and George G. Vega Yon. 2020.
“Diffusion/Contagion Processes on Social
Networks.” Health Education & Behavior 47
(2): 235–48. https://doi.org/10.1177/1090198120901497.
Valente, Thomas W., Heather Wipfli, and George G. Vega Yon. 2019.
“Network Influences on Policy Implementation:
Evidence from a Global Health Treaty.” Social
Science and Medicine. https://doi.org/10.1016/j.socscimed.2019.01.008.
Vega Yon, George. 2020. ergmito: Exponential
Random Graph Models for Small Networks. CRAN.
https://cran.r-project.org/package=ergmito.
Vega Yon, George G. 2023. “Power and Multicollinearity in Small
Networks: A Discussion of ‘Tale of
Two Datasets: Representativeness and
Generalisability of Inference for
Samples of Networks’ by
Krivitsky, Coletti &
Hens.” Journal Of The American Statistical
Association.
Vega Yon, George G., Andrew Slaughter, and Kayla de la Haye. 2021.
“Exponential Random Graph Models for Little Networks.”
Social Networks 64 (August 2020): 225–38. https://doi.org/10.1016/j.socnet.2020.07.005.
Wang, Zeyi, Ian E. Fellows, and Mark S. Handcock. 2023.
“Understanding Networks with Exponential-Family Random Network
Models.” Social Networks, August, S0378873323000497. https://doi.org/10.1016/j.socnet.2023.07.003.
Wasserman, Stanley, and Philippa Pattison. 1996. “Logit models and logistic regressions for social
networks: I. An introduction to Markov graphs and p*.”
Psychometrika 61 (3): 401–25. https://doi.org/10.1007/BF02294547.