A curated list of awesome network analysis resources.
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Updated
Apr 16, 2024 - R
A curated list of awesome network analysis resources.
igraph R package
Graph theory analysis of brain MRI data
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Code used in the paper "Time Series Clustering via Community Detection in Networks"
Nodal centrality for multiplex networks
A network-based model for spatiotemporal data analysis
Extraction of voting networks
R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.
PAFit source
Code repository and Bookdown project for Online Companion to Network Science in Archaeology by Tom Brughmans and Matthew A. Peeples (Cambridge Manuals in Archaeology)
MfeatExtractor is an automated code for meta-feature extraction, useful for meta-learning projects.
Source code used in the paper
Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.
Test the best random partition generated by non hierarchical community detection methods using Clus framework
This repository contains the implementation of the Complex-based 6G Network Functions Placement Algorithm.
This code is part of my Ph.D. research. The aim is generate label co-ocurrence graphs from similarity matrices
Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.
Extraction and analysis of character networks from comics, bandes dessinées and such
Object-Oriented Network Infection Simulator in R. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000200
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