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  "Title": "\"Node+Edge Betweenness Community Detection Algorithm for\n'igraph' Objects\"",
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  "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. Methods are based on results from Smith, Pittman\nand Xu (2024) <doi:10.48550/arXiv.2411.01394>.",
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