A suite of convenient tools for social network analysis geared toward students, entry-level users, and non-expert practitioners. âideanetâ features unique functions for the processing and measurement of sociocentric and egocentric network data. These functions automatically generate node- and system-level measures commonly used in the analysis of these types of networks. Outputs from these functions maximize the ability of novice users to employ network measurements in further analyses while making all users less prone to common data analytic errors. Additionally, âideanetâ features an R Shiny graphic user interface that allows novices to explore network data with minimal need for coding.
Version: 1.1.1 Depends: R (≥ 3.5.0), igraphdata Imports: CliquePercolation, cluster, colorspace, concorR, cowplot, data.table, dplyr, forcats, ggplot2, ggthemes, grDevices, gridGraphics, igraph (≥ 2.1.0), intergraph, jsonlite, magrittr, Matrix, methods, moments, network, readxl, reshape2, rlang, RSpectra, shiny, sna, stringr, tibble, tidyr, tidyselect Suggests: DT, devtools, egor, ergm, shinythemes, shinyWidgets, knitr, rmarkdown, shinycssloaders, visNetwork Published: 2025-07-03 DOI: 10.32614/CRAN.package.ideanet Author: Tom Wolff [aut, cre], Jonathan Howard Morgan [aut], Gabriel Varela [aut], Kieran Lele [aut], Ethan Bhojani [aut], Emily Heraty [aut], Dana Pasquale [aut], Peter Mucha [aut], James Moody [aut] Maintainer: Tom Wolff <tom.wolff at northwestern.edu> License: GPL (≥ 3) NeedsCompilation: no Materials: README CRAN checks: ideanet results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ideanet to link to this page.
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