In this work, we examine the resilience of two complex network types (Erdos Renyi, and Power-Law/Scale-free) to potential delivered attacks and random errors.
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In this work, we examine the resilience of two complex network types (Erdos Renyi, and Power-Law/Scale-free) to potential delivered attacks and random errors.
This repository contains FDP'18 presentations and R scripts.
Rust library for of graph ensembles
A collection of basic CS Algorithms
Simulation of a social network formation influenced by geographical features and distance
The exercise of the the course of Dynamical Models in Network Theory @IMT School For Advanced Studies Lucca
Project DAA B25
FLTR metric on Bernoulli random graphs
Generate, color, and visualize random graphs using Python's NetworkX and Matplotlib. Includes compression and storage of graph data with .gz and pickle. Ideal for exploring graph coloring and greedy algorithms in graph theory.
Sample the G(n, m)-model of Erdős–Rényi random graphs.
Study, analysis and extraction of knowledge from the web and social networks.
Another graph library. Social networks, path-finding algorithms, graph generation, and more.
Альтернативный экзамен :: Реализация программы-калькулятора для вычисления характеристик случайных графов / Alternative exam :: Implementation of program for calculating characteristics of random graphs
Repository dedicated to the codes of my final essay about percolation in complex networks
Reproduction of networks and papers
It consists in basic metrics and functions to describe networks. I use as an example two synthetic networks.
🎓💻University of Tehran Complex Networks Course Projects - Spring 2024
Monte Carlo simulation to estimate the connectivity probability of Erdős–Rényi random graphs G(n,p) G(n,p), with CLT confidence intervals and Hoeffding/Chernoff sample-size bounds.
A graph generator for education
This project is an implementation of the Adaptive Power Method (APM). It simulates a random walk on an Erdős-Rényi random graph to compute the scaled culumant generating function (SCGF) and rate function of the mean degree a time additive observable.
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