cmplx - Epidemic source detection library
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Updated
Jul 14, 2017 - R
cmplx - Epidemic source detection library
MfeatExtractor is an automated code for meta-feature extraction, useful for meta-learning projects.
Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.
Code used in the paper "Time Series Clustering via Community Detection in Networks"
Extraction of voting networks
Object-Oriented Network Infection Simulator in R. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000200
Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters
Source code used in the paper
Nodal centrality for multiplex networks
R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.
Systematic study of the topological properties of real-world complex networks
A network-based model for spatiotemporal data analysis
Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.
En estos códigos se realiza la creación, Análisis Topológico, Percolación, difusión y Tasa de Entropía de dos redes neuronales
Website for the R package 'complexNet' that generates and iterates complex networks based on heritable linking traits in agent-based simulations.
Test the best random partition generated by hierarchical community detection methods using clus framework
Test the best random partition generated by non hierarchical community detection methods using Clus framework
Test the best hybrid partition generated by hierarchical community detection methods wiht k-NN sparsification using Clus Framework
Test the best hybrid partition generated by non hierarchical comunity detection methods, and k-NN sparsification, using Clus Framework.
Test the best hybrid partition generated by non hierarchical comunity detection methods, and threshold sparsification, using Clus Framework.
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