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benyamindsmith committed Nov 22, 2024
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12 changes: 6 additions & 6 deletions utils/joss_paper/paper.Rmd
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---
title: 'ig.degree.betweenness: A Community Detection Algorithm Leveraging Degree Centrality'
title: 'ig.degree.betweenness: An R Package for Community Detection Using Degree Centrality and Betweenness'
author: "Benjamin Smith"
tags:
- R
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# Attach the Karate Club dataset
# Data from {igraphdata}
data("karate")
# Define layout- for visual purposes
layout_plot <- layout_nicely(karate, dim = 2)
# Plot the initial network (Figure 1)
plot(karate)
plot(karate,layout = layout_plot)
# Girvan-Newman Clustering (Figure 2 (a))
# Function from {igraph}
gn_karate <- igraph::cluster_edge_betweenness(karate)
Expand All @@ -100,8 +103,6 @@ sp_karate <- ig.degree.betweenness::cluster_degree_betweenness(karate)
# Plot 3 plots next to eachother
par(mfrow= c(1,3),mar=c(0,0,0,0)+1)
layout_plot <- layout_nicely(karate, dim = 2)
plot(gn_karate, karate, main = "(a)", layout = layout_plot)
plot(louvain_karate, karate, main = "(b)", layout = layout_plot)
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# Licensing and Availability

{ig.degree.betweenness} is licensed under a MIT lisence. It is available on CRAN, and can be installed using `install.packages("ig.degree.betweenness")`. All code is open-source and hosted on
GitHub, and bugs can be reported at https://github.com/benyamindsmith/ig.degree.betweenness/issues/.
{ig.degree.betweenness} is licensed under a MIT lisence. It is available on CRAN, and can be installed using `install.packages("ig.degree.betweenness")`. All code is open-source and hosted on GitHub, and bugs can be reported at https://github.com/benyamindsmith/ig.degree.betweenness/issues/.

# References
19 changes: 8 additions & 11 deletions utils/joss_paper/paper.log
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This is XeTeX, Version 3.141592653-2.6-0.999996 (TeX Live 2024) (preloaded format=xelatex 2024.11.4) 6 NOV 2024 21:34
This is XeTeX, Version 3.141592653-2.6-0.999996 (TeX Live 2024) (preloaded format=xelatex 2024.11.4) 21 NOV 2024 19:08
entering extended mode
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[]\TU/lmr/m/n/10 {igraph} supports a range of popular community detection algorithms, including
[]



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\TU/lmr/m/n/10 and can be installed using \TU/lmtt/m/n/10 install.packages("ig.degree.betweenness")\TU/lmr/m/n/10 . All
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Here is how much of TeX's memory you used:
36715 strings out of 475994
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1626446 words of memory out of 5000000
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564957 words of font info for 86 fonts, out of 8000000 for 9000
14 hyphenation exceptions out of 8191
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