Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
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Updated
Aug 24, 2021 - Python
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
Repository of the netin package to generate random scale-free graph generators proposed by members of the Network Inequality CSH group.
相依网络鲁棒性论文复现
Resilience of Weighted Networks
The repo of "Exploring the Network of Real-World Passwords: Visualization and Estimation" in SecureComm 2017.
This repository contains FDP'18 presentations and R scripts.
Simple projects to understand concepts from the Complex Network course at UOC: Structural Descriptors, Models of Complex Networks, Community Detection, Dynamics in CN (Epidemic simulation)
Evolution of scale-free and lattice networks
Resources for the book "Complex Networks: A Networking and Signal Processing Perspective"
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.
An algorithm to enhance the robustness of Wireless Sensor Networks.
Research project that focuses on observing the Resilience of Delhi Road Networks to Traffic Disruptions
Social Network Analysis on post trade data: centrality, scale free behavior and resiliency of the networks over time
Generacion de una red libre de escala siguiendo el modelo de Barabasi-Albert.
Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.
Análisis comparativo de redes aleatorios y redes libres de escala.
The final project of Network Science course, Prof. Saman Moghimi-Araghi, Sharif University of Technology Fall 2023.
Proof of time evolution of the Barabasi-Albert model
Estimate tail parameters of heavy-tailed distributions (including power law exponent gamma) in Python
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