4.A.i Descriptive Network Analysis

🌐 Web Resources

Descriptive Network Analysis in R for Social Network Analysis

🌐 Link: https://schochastics.github.io/R4SNA/descriptive/introduction.html

Termeh Shafie and David Schoch

“Descriptive network analysis is the task of summarizing the structure of an observed network directly from the data, without assuming any probabilistic model for how the ties came to be. The quantities you compute here are properties of the network you have in front of you: how many nodes and edges it contains, how far apart they are, who sits at its center, which regions hang together.”

Descriptive Network Analysis in Network Analysis: Integrating Social Network Theory, Method, and Application with R

🌐 Link: https://inarwhal.github.io/NetworkAnalysisR-book/ch6-Ego-Network-Data-R.html

Craig Rawlings, Jeffrey A. Smith, James Moody, and Daniel McFarland

This is the website for Network Analysis: Integrating Social Network Theory, Method, and Application with R. They cover multiple descriptive techniques such as: Ego Networks, Dyads and Triads, Cohesion and Communities, Centrality and Hierarchy, Positions and Roles.

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