Code and sample data for a post-grad module on network analysis
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Updated
Dec 1, 2022 - Jupyter Notebook
Code and sample data for a post-grad module on network analysis
Social network analysis code examples for PyCon 2019 talk
Temporal Network Tools
Learn Cyber Security-1 in 30 Days!
Complex Systems, Complexity, Chaos, Emergence, Network Theory, Nonlinear, Graph theory
Collect and visualize network info about drugs and targets related to COVID-19
Teaching materials for Introduction to Complex Networks
Analysis using network theory to model interacations between doctors
A group project done for the course Complex Networks at Delft University of Technology. Part of the assignment was supposed to look at a network of email data, and see how infections would spread between them. Furthermore, mitigation tactics have been investigated in order to prevent the fast pace spreading.
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.
This is a project concerning the detection of bottlenecks in multilayer transport networks
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.
Proyecto de Teoría de redes: Obtener los índices bursátiles más "importantes" del sistema financiero.
Derive possible combinations and permutations
A network analysis of proper nouns in the Bible (KJV).
Models that are, or will be, featured on Physics of Risk blog.
TFSC journal article experimants
Code and report PDF for graph of connections between subreddits
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.
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