Egocentric network analysis with R

Instructions and materials from most recent workshop (please contact me for access).

Next workshop: TBD

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Workshop abstract

This workshop is an introduction to the R programming language for statistical computing, and the tools it offers to represent, store and manipulate egocentric network data; to visualize ego-networks; and to conduct compositional and structural analysis on large collections of ego-networks. No previous familiarity with R is required. Topics include: Short introduction to ego-network research and data; introduction to data structures and network objects in R; visualizing ego-networks; calculating summary measures on ego-network composition and structure; converting your ego-network measures to general R functions; applying your functions to many ego-networks in few lines of code; “split-apply-combine” with the tidyverse suite of packages. We’ll cover both base R functions and specific packages, including igraph, network (from statnet), dplyr and purrr (from tidyverse).


Contents (Sunbelt 2018)



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