Complex Networks Course Repository
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Updated
Nov 6, 2018 - Python
Complex Networks Course Repository
This repository contains FDP'18 presentations and R scripts.
This repository contains both the theory and the scripts produced during my master's research.
Generacion de una red libre de escala siguiendo el modelo de Barabasi-Albert.
Análisis del mercado de traspasos de jugadores de fútbol.
Another graph library. Social networks, path-finding algorithms, graph generation, and more.
Simulation of various complex networks.
Prediction with Pretrained autoencoders
It consists in basic metrics and functions to describe networks. I use as an example two synthetic networks.
The goal is to study graphs from the web
Reproduction of networks and papers
The exercise of the the course of Dynamical Models in Network Theory @IMT School For Advanced Studies Lucca
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Ran…
Random matrix theory and spectral graph algorithms
Реализация программы-калькулятора для вычисления характеристик случайных графов // Implementation of program for calculating characteristics of random graphs
Assignments for the course Complex networks: theory and applications
Study, analysis and extraction of knowledge from the web and social networks.
This project is a visualization of the network science models. Uses CytoScape.js to visualize the models.
Some experiments on the degree distribution of the Barabási-Albert model.
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