Social Network Analysis Workshop

• 3/4/2022

Workshop Hub

Remembering You’re Just One in 11: An Introduction to Social Network Analysis

https://bretsw.com/aect22-workshop/

Additional Resources

RTD SNA Workshop GitHub repository (with code and example datasets):

• https://github.com/bretsw/aect22-workshop

SNA Tools

• https://gephi.org/
• https://nodexl.com/
• https://www.vosviewer.com
• https://bibliometrix.org
• https://sites.google.com/site/ucinetsoftware/home

Books

• Kadushin, C. (2012). Understanding social networks: Theories, concepts, and findings. New York, NY: Oxford University Press.
• Hogan, B. (2017). Online social networks: Concepts for data collection and analysis. In N. G. Fielding, R. M. Lee, & G. Blank (Eds.), The SAGE handbook of online research methods (2nd ed., pp. 241–258). London, UK: SAGE.
• Hogan, B. (2008). Analyzing social networks. In The SAGE handbook of online research methods, 141-160. https://uk.sagepub.com/en-gb/eur/analyzing-social-networks/book255068
• Rainie, H., & Wellman, B. (2012). Networked: The new social operating system (Vol. 419). Cambridge, MA: Mit Press. https://www.google.com/books/edition/Networked/XrT4DwAAQBAJ?hl=en&gbpv=0
• Domínguez, S., & Hollstein, B. (Eds.). (2014). Mixed methods social networks research: Design and applications (Vol. 36). Cambridge University Press.https://www.cambridge.org/core/books/mixed-methods-social-networks-research/7EA70E1358071200A8AEB425A664ACFB
• Data Science in Education Using R: https://datascienceineducation.com/c12.html
• R for Data Science: https://r4ds.had.co.nz/
• Learning Statistics with R: https://learningstatisticswithr.com/

Resources

• Resource list: https://bretsw.github.io/aect22-workshop/1-networks.html#34
  • Beginner: https://education.rstudio.com/learn/beginner/
  • Intermediate: https://education.rstudio.com/learn/intermediate/
  • Expert: https://education.rstudio.com/learn/expert/
• StackExchange: https://stackexchange.com/
• StackOverflow: https://stackoverflow.com/
• https://cran.r-project.org/web/packages/ggplotgui/README.html
• https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
• https://www.w3schools.com/r/
• https://docs.ropensci.org/tidytags/index.html

Articles

• https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/77310
• http://www.stats.ox.ac.uk/~snijders/siena/IntroSAOM_h.pdf
• https://www.sciencedirect.com/science/article/abs/pii/S074756322100203X

People

• Ken Frank: https://sites.google.com/msu.edu/kenfrank
• Hadley Wickham: https://hadley.nz