Simple projects to understand concepts from the Complex Network course at UOC: Structural Descriptors, Models of Complex Networks, Community Detection, Dynamics in CN (Epidemic simulation)

Complex networks such as ER, BA networks and many more :)

Models of Bak-Tang-Wiesenfeld, Manna, Feders and stochastic Feders sand piles on cellular automaton and random graphs in Python 3

Реализация программы-калькулятора для вычисления характеристик случайных графов // Implementation of program for calculating characteristics of random graphs

Code to study the different parameters for random network models including degree distribution, clustering coeffecient and path length. Part of CSEN 354: Social Networks Analysis & Risks taught by Dr. Xiang Li at Santa Clara University.