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.

Simulation of lasing networks with quantum graphs and SALT theory.

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

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

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

Free and curated study resources for GATE & ESE Electrical Engineering. Includes notes, PYQs, and more.

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

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.

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.

This repository provides the code and resources to simulate and visualize the evolution of corruption using network theory and game theory. It includes models and simulations presented at the 55th Mexican National Mathematics Congress and in the undergraduate thesis with the same name.

Code that simulates a Bianconi-Barabási network model with some user defines parameters.

A self-adaptive network model that generates internal data structures dynamically based on input patterns. Enhances system flexibility and intelligent responsiveness across various environments. 入力パターンに応じて内部データ構造を動的に生成し、システムの柔軟性と知的応答性を高める自己適応型ネットワークモデル。