PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks
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Updated
Jan 21, 2020 - Python
PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks
Inequalities in Homophilic Directed ScaleFree Networks
Lecture material for part (4/12) of the lecture **Network Dynamics & Complex Systems - Theoretical and Computational Tools** given during winter semester 2016/17 at Georg-August-Universität Göttingen
The Python code for the models presented in Alizadeh, M., Cioffi-Revilla, C. and Crooks, A. (2017), Generating and Analyzing Spatial Social Networks. Computational and Mathematical Organization Theory, 23(3): 362-390.
This is a project related to multifractality in random networks and spatial long-range analysis.
Another graph library. Social networks, path-finding algorithms, graph generation, and more.
Análisis comparativo de redes aleatorios y redes libres de escala.
🎓💻University of Tehran Complex Networks Course Projects - Spring 2024
Analysis of Complex Networks in R
Research project that focuses on observing the Resilience of Delhi Road Networks to Traffic Disruptions
The "Analysis of Information Networks" repository contains six exercises that explore key concepts in network analysis. From random network generation to link prediction and recommender systems, each exercise provides hands-on experience with metrics, visualizations, and real-world applications.
A MATLAB application that generates random intracellular signaling networks
The code and results for finding anchor nodes in different networks which reduce the APL of the network.
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