Social network analysis code examples for PyCon 2019 talk
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Updated
Nov 20, 2025 - Jupyter Notebook
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.
Free and curated study resources for GATE & ESE Electrical Engineering. Includes notes, PYQs, and more.
Models that are, or will be, featured on Physics of Risk blog.
⌘ | Develops emergent intelligence through the sum (or harmony) of it's parts.
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.
An open, censorship-resistant protocol for social media and messaging. Inherits Nostr's proven primitives — secp256k1 identity, signed events, relay transport — and adds a storage and retrieval layer where users own their data.
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.
Hypergraph-based Investigation of Perturbation Effects and Resilience (HIPER) provides optimized data structures and algorithms for hypernetwork analysis and attack simulation.
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.
A quantitative research framework utilizing Linear Algebra (Spectral Decomposition) and Network Theory (PageRank) to decode systemic fragility in global markets.
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.
Teaching materials for Introduction to Complex Networks
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