{"id":32200862,"url":"https://github.com/asalavaty/influential","last_synced_at":"2025-10-22T03:56:42.242Z","repository":{"id":49757249,"uuid":"234223933","full_name":"asalavaty/influential","owner":"asalavaty","description":"Identification and Classification of the Most Influential Nodes","archived":false,"fork":false,"pushed_at":"2025-07-21T22:49:49.000Z","size":3808,"stargazers_count":29,"open_issues_count":0,"forks_count":3,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-10-22T03:56:37.951Z","etag":null,"topics":["centrality-measures","classification-model","influence-ranking","network-analysis","priaritization-model","r","r-package"],"latest_commit_sha":null,"homepage":"https://asalavaty.github.io/influential/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/asalavaty.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2020-01-16T03:08:37.000Z","updated_at":"2025-07-21T22:49:53.000Z","dependencies_parsed_at":"2023-02-17T00:46:25.847Z","dependency_job_id":"bb1a845e-062e-46fe-adc1-bdb8ba09e0af","html_url":"https://github.com/asalavaty/influential","commit_stats":{"total_commits":348,"total_committers":2,"mean_commits":174.0,"dds":0.002873563218390829,"last_synced_commit":"e6493bce0a9ff7cf6736f4b65754a7b19ecb1b34"},"previous_names":[],"tags_count":14,"template":false,"template_full_name":null,"purl":"pkg:github/asalavaty/influential","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asalavaty%2Finfluential","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asalavaty%2Finfluential/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asalavaty%2Finfluential/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asalavaty%2Finfluential/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/asalavaty","download_url":"https://codeload.github.com/asalavaty/influential/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asalavaty%2Finfluential/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":280376547,"owners_count":26320275,"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","status":"online","status_checked_at":"2025-10-22T02:00:06.515Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["centrality-measures","classification-model","influence-ranking","network-analysis","priaritization-model","r","r-package"],"created_at":"2025-10-22T03:56:41.066Z","updated_at":"2025-10-22T03:56:42.232Z","avatar_url":"https://github.com/asalavaty.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\u003c!-- README.md is generated from README.Rmd file. Please edit that file --\u003e\n\n# influential \u003ca href='https://github.com/asalavaty/influential'\u003e\u003cimg src='man/figures/Symbol.png' align=\"right\" height=\"221\" /\u003e\u003c/a\u003e\n\n\u003c!-- badges: start --\u003e\n\n[![AppVeyor build\nstatus](https://ci.appveyor.com/api/projects/status/github/asalavaty/influential?branch=master\u0026svg=true)](https://ci.appveyor.com/project/asalavaty/influential)\n[![](https://www.r-pkg.org/badges/version/influential?color=blue)](https://cran.r-project.org/package=influential)\n[![](http://cranlogs.r-pkg.org/badges/grand-total/influential?color=green)](https://cran.r-project.org/package=influential)\n![CRAN Downloads](https://cranlogs.r-pkg.org/badges/influential)\n[![](https://img.shields.io/badge/Integrated%20Value%20of%20Influence-IVI-blue.svg)](https://doi.org/10.1016/j.patter.2020.100052)\n[![](https://img.shields.io/badge/SIR--based%20Influence%20Ranking-SIRIR-green.svg)](https://doi.org/10.1016/j.patter.2020.100052)\n[![](https://img.shields.io/badge/Experimental%20data--based%20Integrative%20Ranking-ExIR-blue.svg)](https://www.biorxiv.org/content/10.1101/2022.10.03.510585v1.abstract)\n\u003c!-- badges: end --\u003e\n\n## Overview\n\nThe goal of `influential` is to help identification of the most\n`influential` nodes in a network as well as the classification and\nranking of top candidate features. This package contains functions for\nthe classification and ranking of features, reconstruction of networks\nfrom adjacency matrices and data frames, analysis of the topology of the\nnetwork and calculation of centrality measures as well as a novel and\npowerful `influential` node ranking. The **Experimental data-based\nIntegrative Ranking (ExIR)** is a sophisticated model for classification\nand ranking of the top candidate features based on only the experimental\ndata. The first integrative method, namely the **Integrated Value of\nInfluence (IVI)**, that captures all topological dimensions of the\nnetwork for the identification of network most `influential` nodes is\nalso provided as a function. Also, neighborhood connectivity, H-index,\nlocal H-index, and collective influence (CI), all of which required\ncentrality measures for the calculation of **IVI**, are for the first\ntime provided in an R package. Additionally, a function is provided for\nrunning **SIRIR** model, which is the combination of leave-one-out cross\nvalidation technique and the conventional SIR model, on a network to\nunsupervisedly rank the true influence of vertices. Furthermore, some\nfunctions have been provided for the assessment of dependence and\ncorrelation of two network centrality measures as well as the\nconditional probability of deviation from their corresponding means in\nopposite directions.\n\nCheck out [**our paper**](https://doi.org/10.1016/j.patter.2020.100052)\nfor a more complete description of the IVI formula and all of its\nunderpinning methods and analyses.\n\nAlso, read our\n[**preprint**](https://www.biorxiv.org/content/10.1101/2022.10.03.510585v1.abstract)\non the ExIR model and its validations.\n\n## Author\n\nThe `influential` package was written by [Adrian\nSalavaty](https://asalavaty.com/)\n\n## Advisors\n\nMirana Ramialison and Peter D. Currie\n\n## How to Install\n\nYou can install the official [CRAN\nrelease](https://cran.r-project.org/package=influential) of the\n`influential` with the following code:\n\n``` r\ninstall.packages(\"influential\")\n```\n\nOr the development version from GitHub:\n\n``` r\n## install.packages(\"remotes\")\nremotes::install_github(\"asalavaty/influential\", build_vignettes = TRUE)\n```\n\n## Vignettes\n\nA comprehensive introduction to `influential` and all of its functions\nis available in the\n[vignette](https://cran.r-project.org/package=influential/vignettes/Vignettes.html).\n\nYou may browse Vignettes from within R using the following code.\n\n``` r\nbrowseVignettes(\"influential\")\n```\n\n## Shiny apps\n\n- [Influential Software Package web\n  portal](https://influential.erc.monash.edu/)\n\n- [IVI Shiny App](https://influential.erc.monash.edu/IVI/): A shiny app\n  for the calculation of the Integrated Value of Influence (IVI) of\n  network nodes as well as IVI-based visualization of the network.\n\nYou can also access the IVI shiny app offline from within R and run it\non your local machine using the following command.\n\n``` r\ninfluential::runShinyApp(\"IVI\")\n```\n\n- [ExIR Shiny App](https://influential.erc.monash.edu/ExIR/): A shiny\n  app for running the Experimental-data-based Integrative Ranking (ExIR)\n  model as well as visualization of its results.\n\nYou can also access the ExIR shiny app offline from within R and run it\non your local machine using the following command.\n\n``` r\ninfluential::runShinyApp(\"ExIR\")\n```\n\n## How to cite `influential`\n\nTo cite `influential`, please cite its associated paper:\n\n- Integrated Value of Influence: An Integrative Method for the\n  Identification of the Most Influential Nodes within Networks. Adrian\n  Salavaty, Mirana Ramialison, Peter D Currie. *Patterns*. 2020.08.14\n  ([Read online](https://doi.org/10.1016/j.patter.2020.100052)).\n\nYou can also refer to the package’s citation information using the\n`citation()` function.\n\n``` r\ncitation(\"influential\")\n```\n\n## How to contribute\n\nPlease don’t hesitate to report any bugs/issues and request for\nenhancement or any other contributions. To submit a bug report or\nenhancement request, please use the [`influential` GitHub issues\ntracker](https://github.com/asalavaty/influential/issues).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasalavaty%2Finfluential","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fasalavaty%2Finfluential","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasalavaty%2Finfluential/lists"}