From 8f63cf9f41bbdb8d55cd4679872d2b4ae2129324 Mon Sep 17 00:00:00 2001 From: YurenHao0426 Date: Tue, 24 Feb 2026 08:40:49 +0000 Subject: EC-SBM community detection analysis: full pipeline and writeup Implement community detection on 3 EC-SBM networks (polblogs, topology, internet_as) using 5 methods (Leiden-Mod, Leiden-CPM at 0.1 and 0.01, Infomap, graph-tool SBM). Compute AMI/ARI/NMI accuracy, cluster statistics, and generate figures and LaTeX report. --- CLAUDE.md | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 CLAUDE.md (limited to 'CLAUDE.md') diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..4763a31 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,2 @@ +This assignment will involve data analysis. You will apply community detection methods to EC-SBM synthetic networks, which come with ground truth communities; this will allow you to evaluate accuracy. You will report empirical statistics about the communities you obtain (e.g., distribution of community sizes and edge densities, mixing parameters, percentage of nodes not in any cluster of size at least two). You will also report accuracy using at a minimum AMI, ARI, and NMI. You will also write up your study with details sufficient to be reproducible and with commentary about what you learned. See this page for details. +https://tandy.cs.illinois.edu/598-data-analysis-hw.html -- cgit v1.2.3