Modelos estocásticos orientados en el actor utilizando RSiena (III). : Análisis Descriptivo.

Alejandro Espinosa-Rada; Alvaro Uzaheta

doi:10.5565/rev/redes.956

Modelos estocásticos orientados en el actor utilizando RSiena (III).

Análisis Descriptivo.

Autores/as

Alejandro Espinosa-Rada The Mitchell Centre for Social Network Analysis, The University of Manchester https://orcid.org/0000-0003-4177-1912
Alvaro Uzaheta Social Networks Lab, ETH Zurich

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Resumen

Este texto es el tercer guión de una serie de seis guiones escritos en el lenguaje y ambiente de programación R que conjuntamente constituyen la introducción al software RSiena para estimar modelos estocásticos orientados en el actor para redes dinámicas. Este tercer guión es un ejemplo de cómo realizar un análisis descriptivo antes de estimar un modelo SAOM. El texto está acompañado por el código en R para realizar los análisis.

Palabras clave

Análisis de redes sociales, Modelos estocásticos orientados en el actor, Análisis estadístico de redes sociales, RSiena, R

Citas

Almende, B.V., Thieurmen, B. & Robert, Titoouan (2021). visNetwork: Network Visualization using ´vis.js´ Library. R package version 2.1.0. https://CRAN.R-project.org/package=visNetwork

Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical analysis, 27(2), 93-115.

Bender-deMoll, S. (2016). ndtv: Network Dynamic Temporal Visualization. R package version 0.10. http://statnet.org

Borgatti, S., Everett, M., Johnson, J. & Agneessens (2022). Analyzing Social Networks Using R. SAGE.

Butts, C. T. (2008a). network: A package for Managing Relational Data in R. Journal of Statistical Software, 24(2), 1-36. DOI: https://doi.org/10.18637/jss.v024.i02

Butts, C. T. (2008b). Social network analysis with sna. Journal of Statistical Software, 24(6), 1-51. DOI: https://doi.org/10.18637/jss.v024.i06

Csárdi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695(5), 1-9.

Espinosa-Rada, A. (2022a). “Usos contemporáneos de los modelos estocásticos orientados en el actor (SAOMs) para redes dinámicas”. En: Francisca Ortiz y Alejandro Espinosa-Rada (Eds.). El Análisis de Redes Sociales en América Latina. En prensa.

Espinosa-Rada, A. (2022b). Modelos estocásticos orientados en el actor utilizando RSiena (I). Guión básico introductorio. Revista Hispana para el Análisis de Redes Sociales, 33(1), 100-111. DOI: https://doi.org/10.5565/rev/redes.936

Espinosa-Rada, A. (2022c). Modelos estocásticos orientados en el actor utilizando RSiena (II). Formato de los Datos. Revista Hispana para el Análisis de Redes Sociales, 33(1), 92-99. DOI: https://doi.org/10.5565/rev/redes.937

Gandrud, C., Allaire, J.J. Rusell, K. & Yetman, C.J. (2017). networkD3: D3 JavaScript Network Graph from R. R package version 0.4. https://CRAN.R-project.org/package=networkD3

Holland, P.W., & Leinhardt, S. (1972). Some Evidence on the Transitivity of Positive Interpersonal Sentiment. American Journal of Sociology, 72, 1205-1209. DOI: https://doi.org/10.1086/225266

Moreno, J. (1934). Who Shall Survive? Nervous and Mental Disease Publishing.

Newman, M. (2018). Networks. Oxford University Press.

Pedersen, T. L. (2017). ggraph: An implementation of Grammar of Graphics for Graphs and Networks. R package version 2.0.5. https://CRAN.R-project.org/package=ggraph

R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org/

Ripley, R., Snijders, T. A.B., Boda, Z. Vörös, A. & Preciado, P. (2022). Manual for SIENA version 4.0. Oxford: University of Oxford, Department of Statistics, http://www.stats.ox.ac.uk/~snijders/siena/.

Snijders, T.A.B. (2001) The statistical evaluation of social network dynamics, Sociological Methodology - 2001, 40: 361-395.

Snijders, T.A.B. (2017). Stochastic Actor-Oriented Models for Network Dynamics. Annual Review of Statistics and Its Application, 4, 343-363. DOI: http://dx.doi.org/10.1146/annurev-statistics-060116-054035

Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.

Watts, D. J. & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393, 440–442. DOI: https://doi.org/10.1038/30918

Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York. URL: https://ggplot2.tidyverse.org

Biografía del autor/a

Alejandro Espinosa-Rada, The Mitchell Centre for Social Network Analysis, The University of Manchester

Alejandro Espinosa-Rada is a PhD Student in Sociology at the University of Manchester and member of the Mitchell Centre for Social Network Analysis. He completed his master’s degree in sociology at the Pontifical Catholic University of Chile and received his bachelor’s degree from Alberto Hurtado University. Before arriving at Manchester in 2017, he worked as an adjunct assistant professor at the Pontifical Catholic University of Chile, Alberto Hurtado University and the University of Santiago, Chile. He was the co-founder and past editor of the academic journal "Contenido. Cultura y Ciencias Sociales". Now is the coordinator of “the Chilean Society of the Social Network Science” (CHISOCNET) and co-director of the consultancy "Mecanismos Sociales Ltda." in Chile.