Social network analysis code examples for PyCon 2019 talk

Temporal Network Tools

Code and sample data for a post-grad module on network analysis

Learn Cyber Security-1 in 30 Days!

Complex Systems, Complexity, Chaos, Emergence, Network Theory, Nonlinear, Graph theory

Employing geospatial analysis and Python programming, this project provides a comprehensive investigation into the accessibility and distribution of the electric vehicle (EV) charging infrastructure in Norway. We have devised a model that analyzes charging demand based on real traffic observations and compares with computed demand from chargers.

Models that are, or will be, featured on Physics of Risk blog.

Simulation of lasing networks with quantum graphs and SALT theory.

In progress - A generator for a medieval Dutch community, featuring complex personalities and interpersonal relationships for people generated over a span of x years.

Collect and visualize network info about drugs and targets related to COVID-19

R package associated with paper "Component response rate variation underlies the stability of highly complex finite systems" (Duthie, AB. 2020. Sci. Rep. 10:8296, https://www.nature.com/articles/s41598-020-64401-w). This repository contains all manuscript text and supplemental information, and all code for recreating analyses.

C++ library for analysis and simulations of networks

Teaching materials for Introduction to Complex Networks

The Preferential Deletion Model (PDModel) is an implementation of the original discrete-time random graph generation process described by Narsingh Deo and Aurel Cami. 2020.

The Preferential Deletion Model with Changing in Existing Connections (PDCModel) is an extension of the discrete-time random graph generation process described by Narsingh Deo and Aurel Cami in 2005. This new model accounts for changes in existing edges for every unit of time, representing the behavior of social circles more accurately. 2020.

Proyecto de Teoría de redes: Obtener los índices bursátiles más "importantes" del sistema financiero.

Derive possible combinations and permutations

This is a project concerning the detection of bottlenecks in multilayer transport networks

Analysis using network theory to model interacations between doctors