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.
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
This repository contains FDP'18 presentations and R scripts.
Resources for the book "Complex Networks: A Networking and Signal Processing Perspective"
Research project that focuses on observing the Resilience of Delhi Road Networks to Traffic Disruptions
An algorithm to enhance the robustness of Wireless Sensor Networks.
Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.
Generacion de una red libre de escala siguiendo el modelo de Barabasi-Albert.
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.
Estimate tail parameters of heavy-tailed distributions (including power law exponent gamma) in Python
Klein — A globally distributed AI inference and model serving platform designed for high availability, low latency, and multi-tenant GPU orchestration. Built as part of course 24ECSE309 under Mr. Prakash Hegade at KLE Technological University.
Social Network Analysis on post trade data: centrality, scale free behavior and resiliency of the networks over time
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
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