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…

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Tool to numerically solve and analyse simplicial Kuramoto models.

Twitter and Influence

Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction

Python package for importing and analyzing discrete- and continuous-time dynamic networks

Simulation of the COVID pandemic on the bilayer network and study the influence of social media on behaviors of individuals.

This is the source code of paper "Heterogeneous networks structure reconstruction via compressive sensing and clustering",DOI: 10.1109/TETCI.2020.2997011

Implementation of Complex Networks Algorithms

We present AFIF, Automatically Finding Important Features, an efficient solution to examine communities' structural features and also to find a proper subset of promising features in order to predict the upcoming changes of social networks.

Mapping Science

Framework for calculating the steady-state energy flow and for solving optimization problems in coupled energy grids (gas, heat, electricity)

Place to hide my stuff of Complex Network Analysis

This generates the complex network from a set of GPX trajectories. It is the implementation of http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0177712

This is a simple school assignment. I just have to implement an algorithm to calculate betweenness centrality.

A complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in graphs modelling of real systems.