diff --git a/DESCRIPTION b/DESCRIPTION index 8dd99ec..1001de4 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: ig.degree.betweenness Type: Package -Title: Implementation of "Smith-Pittman" community detection algortihm with a gradient evident in social partitioning by Smith, Pittman and Xu (2024) for "igraph" objects +Title: Implementation of "Smith-Pittman" Community Detection Algortihm with a Gradient Evident in Social Partitioning by Smith, Pittman and Xu (2024) for "igraph" Objects Version: 0.1.0 Authors@R: c( person( @@ -31,7 +31,7 @@ Description: Implements the "Smith-Pittman" community detection algorithm networks, with a gradient evident in social partitioning. The package provides functions for community detection, visualization, and analysis of the resulting community structure. Methods are based on results from Smith, - Pittman and Xu (2024) . + Pittman and Xu (2024) . License: MIT + file LICENSE URL: https://github.com/benyamindsmith/ig.degree.betweenness BugReports: https://github.com/benyamindsmith/ig.degree.betweenness/issues diff --git a/R/cluster_degree_betweenness.R b/R/cluster_degree_betweenness.R index 2b6c70c..16b6258 100644 --- a/R/cluster_degree_betweenness.R +++ b/R/cluster_degree_betweenness.R @@ -22,7 +22,7 @@ #' @importFrom igraph components #' @importFrom rlist list.append #' @import igraphdata -#' @references Smith et al (2024) "Centrality in Collaboration: A Novel Algorithm for Social Partitioning Gradients in Community Detection for Multiple Oncology Clinical Trial Enrollments", +#' @references Smith et al (2024) "Centrality in Collaboration: A Novel Algorithm for Social Partitioning Gradients in Community Detection for Multiple Oncology Clinical Trial Enrollments", #' @export #' @examples #' library(igraphdata) diff --git a/man/cluster_degree_betweenness.Rd b/man/cluster_degree_betweenness.Rd index 7c050c6..e833852 100644 --- a/man/cluster_degree_betweenness.Rd +++ b/man/cluster_degree_betweenness.Rd @@ -46,5 +46,5 @@ plot( } \references{ -Smith et al (2024) "Centrality in Collaboration: A Novel Algorithm for Social Partitioning Gradients in Community Detection for Multiple Oncology Clinical Trial Enrollments", +Smith et al (2024) "Centrality in Collaboration: A Novel Algorithm for Social Partitioning Gradients in Community Detection for Multiple Oncology Clinical Trial Enrollments", }