{"id":17606643,"url":"https://github.com/corybrunson/bitriad","last_synced_at":"2025-04-07T00:47:48.848Z","repository":{"id":86214978,"uuid":"20404156","full_name":"corybrunson/bitriad","owner":"corybrunson","description":"R package for triadic analysis of affiliation networks","archived":false,"fork":false,"pushed_at":"2020-03-23T15:29:04.000Z","size":12700,"stargazers_count":4,"open_issues_count":7,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-13T06:19:27.329Z","etag":null,"topics":["affiliation-networks","bipartite-graphs","clustering-coefficient","igraph","network-analysis","r","triad-census","triad-closure"],"latest_commit_sha":null,"homepage":"http://corybrunson.github.io/bitriad/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/corybrunson.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2014-06-02T13:09:04.000Z","updated_at":"2024-12-23T00:09:23.000Z","dependencies_parsed_at":null,"dependency_job_id":"bb27057f-8ffb-47be-809e-75909cadab72","html_url":"https://github.com/corybrunson/bitriad","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/corybrunson%2Fbitriad","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/corybrunson%2Fbitriad/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/corybrunson%2Fbitriad/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/corybrunson%2Fbitriad/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/corybrunson","download_url":"https://codeload.github.com/corybrunson/bitriad/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247574097,"owners_count":20960495,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["affiliation-networks","bipartite-graphs","clustering-coefficient","igraph","network-analysis","r","triad-census","triad-closure"],"created_at":"2024-10-22T15:51:42.723Z","updated_at":"2025-04-07T00:47:47.396Z","avatar_url":"https://github.com/corybrunson.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"bitriad\n=======\n\nThis repo constitutes an R package, and contains data and tools for the triadic analysis of affiliation networks.\n\n## Description\n\nThe paper [*Triadic analysis of affiliation networks*](http://arxiv.org/abs/1502.07016) makes a case for adopting a batch of triad-based tools for the study of (bipartite) affiliation networks. Most of the tools used therein are included in this package, which is built mostly on the [**igraph** package](http://igraph.org/r/). No new classes have been defined yet, but several back-end functions are written in C++ without reference to the **igraph** library. Any suggestions would be welcome.\n\n## Installation\n\nThe package is not yet on CRAN; it can be installed using the [devtools](https://github.com/hadley/devtools) package:\n\n```r\ndevtools::install_github(\"corybrunson/bitriad\")\n```\n\n## Functionality\n\nThe package implements several tools from the paper, most importantly\n\n* `triad_census()`, which surveys the *triads* of an affiliation network and returns the census in a specified *scheme*; and\n* `triad_closure()`, which surveys the *wedges* of an affiliation network and returns either global or local proportions of wedges that are *closed*.\n\nThe parameters for these functions, in particular the census schemes and the definitions of wedge and closure, are thoroughly documented in `help(triad_census)` and `help(triad_closure)`. Both functions pass to their corresponding functions in **igraph** when the input graph is not an affiliation network.\n\n## Datasets\n\nEmpirical affiliation networks from the following sources are included as datasets:\n* Davis(, Davis), Gardner, Gardner(, and St Clair Drake)'s [*Deep South: A Social Anthropological Study of Caste and Class*](http://www.amazon.com/Deep-South-Anthropological-Southern-Classics/dp/1570038155), p. 148 (`women_group`) and p. 209 (`women_clique`);\n* Scott and Hughes' [*The Anatomy of Scottish Capital*](http://books.google.com/books?id=59mvAwAAQBAJ), specifically Table 2, covering 1920-21 (`scotland1920s`);\n* Galaskiewicz's [*Social Organization of an Urban Grants Economy*](http://books.google.com/books?id=Vd25AAAAIAAJ), specifically a subset reproduced in Faust's [\"Centrality in affiliation networks\"](http://www.socsci.uci.edu/~kfaust/faust/research/articles/faust_centrality_sn_1997.pdf) (`minneapolis1970s`);\n* Barnes and Burkett's [\"Structural Redundancy and Multiplicity in Corporate Networks\"](http://www.insna.org/PDF/Connections/v30/2010_I-2_P-1-1.pdf) (`chicago1960s`);\n* [Noordin Top Terrorist Network Data](http://www.thearda.com/Archive/Files/Descriptions/TERRNET.asp), using meetings (`nmt_meetings`) and organizations (`nmt_organizations`) as events;\n* Fischer's [*Paul Revere's Ride*](http://books.google.com/books/about/Paul_Revere_s_Ride.html?id=ZAvQfZFbLp4C), Appendix D, as used in Han's [\"The Other Ride of Paul Revere\"](http://www.sscnet.ucla.edu/polisci/faculty/chwe/ps269/han.pdf) (`whigs`).\n\n## Documentation\n\nThe vignette `southern_women` outlines an analysis of `women_clique` and `women_group` using the censuses, some clustering coefficients, and other tools.\n\nThe full documentation is built into [a **bitriad** website](http://corybrunson.github.io/bitriad/) using [pkgdown](https://github.com/hadley/pkgdown).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcorybrunson%2Fbitriad","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcorybrunson%2Fbitriad","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcorybrunson%2Fbitriad/lists"}