References

Arun, Rajkumar, V. Suresh, C. E. Veni Madhavan, and M. N. Narasimha Murthy. 2010. “On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations.” In Advances in Knowledge Discovery and Data Mining. Berlin, Heidelberg: Springer. http://doi.org/10.1007/978-3-642-13657-3_43.
Bender-deMoll, Skye. 2022. ndtv: Network Dynamic Temporal Visualizations. https://CRAN.R-project.org/package=ndtv.
Bender-deMoll, Skye, and Martina Morris. 2021. tsna: Tools for Temporal Social Network Analysis. https://CRAN.R-project.org/package=tsna.
Blondel, VD, JL Guillaume, R Lambiotte, and E Lefebvre. 2008. “Fast Unfolding of Communities in Large Networks.” Journal of Statistical Mechanics: Theory and Experiment 10: P10008.
Bojanowski, Michal. 2015. intergraph: Coercion Routines for Network Data Objects. http://mbojan.github.io/intergraph.
Bomiriya, Rashmi Pankajai. 2014. “Topics in Exponential Random Graph Modeling.”
Briatte, François. 2023. ggnetwork: Geometries to Plot Networks with ’ggplot2’. https://CRAN.R-project.org/package=ggnetwork.
Butts, Carter T. 2015. network: Classes for Relational Data. The Statnet Project (http://www.statnet.org). https://CRAN.R-project.org/package=network.
———. 2023a. relevent: Relational Event Models. https://CRAN.R-project.org/package=relevent.
———. 2023b. sna: Tools for Social Network Analysis. https://CRAN.R-project.org/package=sna.
Butts, Carter T., Ayn Leslie-Cook, Pavel N. Krivitsky, and Skye Bender-deMoll. 2023. networkDynamic: Dynamic Extensions for Network Objects. https://CRAN.R-project.org/package=networkDynamic.
Byshkin, Maksym, Alex Stivala, Antonietta Mira, Garry Robins, and Alessandro Lomi. 2018. “Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data.” Scientific Reports 8 (1): 1–11.
Caliński, Tadeusz, and Jerzy Harabasz. 1974. “A Dendrite Method for Cluster Analysis.” Communications in Statistics-Theory and Methods 3.1: 1–27.
Centola, Damon, and Michael Macy. 2007. “Complex Contagions and the Weakness of Long Ties.” American Journal of Sociology 113 (3): 702–34.
Charrad, Malika, Nadia Ghazzali, Véronique Boiteau, and Azam Niknafs. 2014. NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set.” Journal of Statistical Software 61 (6): 1–36. https://www.jstatsoft.org/v61/i06/.
Csardi, Gabor, and Tamas Nepusz. 2006. “The igraph Software Package for Complex Network Research.” InterJournal Complex Systems: 1695. https://igraph.org.
Feinerer, I., K. Hornik, and D. Meyer. 2008. “Text Mining Infrastructure in r.” Journal of Statistical Software 25: 1–54.
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.
Jenness, Samuel M., Steven M. Goodreau, and Martina Morris. 2018. EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks.” Journal of Statistical Software 84 (8): 1–47. https://doi.org/10.18637/jss.v084.i08.
Juan, Cao, Xia Tian, Li Jintao, Yongdong Zhang, and Tang Sheng. 2009. “A Density-Based Method for Adaptive Lda Model Selection.” In Neurocomputing — 16th European Symposium on Artificial Neural Networks. http://doi.org/10.1016/j.neucom.2008.06.011.
Krenz, Till, Pavel N. Krivitsky, Raffaele Vacca, Michal Bojanowski, and Andreas Herz. 2023. egor: Import and Analyse Ego-Centered Network Data. https://CRAN.R-project.org/package=egor.
Krivitsky, Pavel N. 2012. “Exponential-Family Random Graph Models for Valued Networks.” Electronic Journal of Statistics 6: 1100.
———. 2022. ergm.count: Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges. The Statnet Project (https://statnet.org). https://CRAN.R-project.org/package=ergm.count.
———. 2023. ergm.ego: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data. The Statnet Project (https://statnet.org). https://CRAN.R-project.org/package=ergm.ego.
Krivitsky, Pavel N., and Mark S. Handcock. 2023. tergm: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models. The Statnet Project (https://statnet.org). https://CRAN.R-project.org/package=tergm.
Krivitsky, Pavel N., and Martina Morris. 2017. “Inference for Social Network Models from Egocentrically Sampled Data, with Application to Understanding Persistent Racial Disparities in HIV Prevalence in the US.” The Annals of Applied Statistics 11 (1): 427.
McPherson, Miller. 1983. “An Ecology of Affiliation.” American Sociological Review 48 (4): 519–32.
McPherson, Miller, and Jeffrey A. Smith. 2019. “Network Effects in Blau Space: Imputing Social Context from Survey Data.” Socius. https://doi.org/10.1177/2378023119868591.
Moody, James, and Douglass R. White. 2003. “Structural Cohesion and Embeddedness: A Hierarchical Concept of Social Groups.” American Sociological Review 68: 103–27.
Newman, M. E. J., and M. Girvan. 2004. “Finding and Evaluating Community Structure in Networks.” Physical Review E 69: 026113.
Opsahl, Tore. 2009. Structure and Evolution of Weighted Networks. University of London (Queen Mary College), London, UK. http://toreopsahl.com/publications/thesis/.
Pons, Pascal, and Matthieu Latapy. 2005. “Computing Communities in Large Networks Using Random Walks.” In Lecture Notes in Computer Science. Berlin, Heidelberg: Springer.
Ragan, Daniel T., D. Wayne Osgood, Nayan G. Ramirez, James Moody, and Scott D. Gest. 2022. “A Comparison of Peer Influence Estimates from SIENA Stochastic Actor–Based Models and from Conventional Regression Approaches.” Sociological Methods & Research 51 (1): 357–95. https://doi.org/10.1177/0049124119852369.
Ripley, Ruth M., Tom A. B. Snijders, Zsofia Boda, Andras Voros, and Paulina Preciado. 2023. “Manual for Siena Version 4.0.” Oxford: University of Oxford, Department of Statistics; Nuffield College.
Schloerke, Barret, Di Cook, Joseph Larmarange, Francois Briatte, Moritz Marbach, Edwin Thoen, Amos Elberg, and Jason Crowley. 2021. GGally: Extension to ’ggplot2’. https://CRAN.R-project.org/package=GGally.
Smith, Jeffrey A., Miller McPherson, and Lynn Smith-Lovin. 2014. “Social Distance in the United States: Sex, Race, Religion, Age and Education Homophily Among Confidants, 1985-2004.” American Sociological Review 79: 432–56.
Smith, Jeffrey A., and James Moody. 2013. “Structural Effects of Network Sampling Coverage I: Nodes Missing at Random.” Social Networks 35: 652–68.
Smith, Jeffrey A., James Moody, and Jonathan H. Morgan. 2017. “Network Sampling Coverage II: The Effect of Non-Random Missing Data on Network Measurement.” Social Networks 48: 78–99.
Smith, Jeffrey A., Jonathan H. Morgan, and James Moody. 2022. “Network Sampling Coverage III: Imputation of Missing Network Data Under Different Network and Missing Data Conditions.” Social Networks 68: 148–78. https://doi.org/10.1016/j.socnet.2021.05.002.
Snijders, Tom AB, Gerhard G Van de Bunt, and Christian EG Steglich. 2010. “Introduction to Stochastic Actor-Based Models for Network Dynamics.” Social Networks 32 (1): 44–60.
Sourial, Nadia, Christina Wolfson, Bin Zhu, Jacqueline Quail, John Fletcher, Sathya Karunananthan, Karen Bandeen-Roche, François Béland, and Howard Bergman. 2009. “Correspondence Analysis Is a Useful Tool to Uncover the Relationships Among Categorical Variables.” Journal of Clinical Epidemiology 63: 638–46.
Steglich, Christian, Tom AB Snijders, and Michael Pearson. 2010. “Dynamic Networks and Behavior: Separating Selection from Influence.” Sociological Methodology 40 (1): 329–93.
Valente, Thomas, and George Vega Yon. 2020. “Diffusion/Contagion Processes on Social Networks.” Health Education & Behavior 42 (February): 235–48. https://doi.org/10.1177/1090198120901497.
Vega Yon, George, and Thomas Valente. 2022. netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks. https://doi.org/10.5281/zenodo.1039317.
Yang, Zhao, René Algesheimer, and Claudio J Tessone. 2016. “A Comparative Analysis of Community Detection Algorithms on Artificial Networks.” Scientific Reports 6 (1): 1–18.