{ "_id": "6a59f24609eb0996dd68fc7a", "Type": "Package", "Package": "ig.degree.betweenness", "Title": "\"Node+Edge Betweenness Community Detection Algorithm for\n'igraph' Objects\"", "Version": "0.2.0", "Authors@R": "c(\nperson(\"Benjamin\", \"Smith\", , \"benyamin.smith@mail.utoronto.ca\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0007-2206-0177\")),\nperson(\"Tyler\", \"Pittman\", , \"Tyler.Pittman@uhn.ca\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-5013-6980\")),\nperson(\"Wei\", \"Xu\", , \"Wei.Xu@uhn.ca\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-0257-8856\"))\n)", "Description": "Implements the \"Node + Edge Betweenness\" community\ndetection algorithm for network analysis using 'igraph'\nobjects. This algorithm combines node degree and betweenness\ncentrality measures to identify communities within networks,\nwith a gradient evident in social partitioning. The package\nprovides functions for implementation of the algorithm,\nvisualization, and analysis of the resulting community\nstructure along with the original dataset used in the\npublication. 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