A curated list of awesome network analysis resources.

igraph R package

Graph theory analysis of brain MRI data

R package for analyzing other R packages via graph representations of their dependencies

Code repository and Bookdown project for Online Companion to Network Science in Archaeology by Tom Brughmans and Matthew A. Peeples (Cambridge Manuals in Archaeology)

Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization

Formal methods to study Prehistory iconography

Orthogonal Oligo Design for Fluorescence In Situ Hybridization (a.k.a. OOD-FISH)

Integrating pathways and related knowledge in a multilayer framework

Graph Community Detection Methods into Systematic Conservation Planning

How to estimate P-values of network metrics and compare pairs of networks using Monte Carlo procedures in R.

Shortest Path Problem with Forbidden Paths in R

Sea Currents to Connectivity Transformation

Evolutionary Game Corridors

For a given matrix, this R script will generate its associated Graph depending on the composition.

This project explores real-world social network data (Facebook and Google+) using various graph-theoretic and statistical techniques to analyze structure, detect communities, and evaluate social metrics such as embeddedness and dispersion.

🌐 Explore biological and ecological networks with ggNetView, an R package offering flexible tools for effective network analysis and visualization.

Tumor Evolution Paths Project

An R package for analysing graphs in the form adjacency matrices matrices. This package aims to facilitate batch processing and streamlined statistical analysis of multiple networks.