Node Vulnerability to Attacks in Complex Networks
Code implementation for simulating attacks on nodes in complex networks, including network model generation algorithms and attack scenario simulations
Fundamental Network Models for Complex Networks
Implementation of fundamental complex network models using MATLAB, including specific models such as BA (Barabási–Albert) network model, NN (Nearest Neighbor) network model, NW (Newman–Watts) network model, WS (Watts–Strogatz) small-world network model, and random graphs. The implementation allows calculation of key network metrics including average path length, clustering coefficient, and degree distribution.
Comprehensive Tool for Computing Complex Network Characteristic Parameters
This toolkit calculates various complex network metrics including shortest path algorithms, global efficiency measures, betweenness centrality, node centrality indices, and modularity properties, with detailed code implementations for network analysis
Classic BA Scale-Free Network Model in Complex Networks
MATLAB source code implementation of the BA scale-free network model with degree calculation functionality - an essential tool for complex network research featuring preferential attachment algorithm implementation and network analysis capabilities.
Synchronization Control on Complex Networks
Synchronization control implementation for complex networks using adaptive control methods, specifically designed for achieving synchronization in small-world networks with code-level parameter adaptation algorithms.
Small-World Models in Complex Networks with MATLAB Implementation
Small-world network models including NW (Newman-Watts) model and SW (Watts-Strogatz) model with MATLAB code for calculating degree distribution.
Assortativity Coefficient: An Important Parameter in Complex Networks
Calculate the assortativity coefficient using the network adjacency matrix, with implementation details for computing this key complex network parameter.
Evolutionary Game Theory MATLAB Toolbox
Evolutionary Game Theory MATLAB Toolbox enables simulation and analysis of evolutionary games on various complex network structures, featuring algorithmic implementations for network generation, strategy updating rules, and payoff calculations.
Removing Specified Nodes in Complex Networks
Node Removal in Complex Networks Based on Degree, Authoritativeness, and Other Evaluation Metrics
Community Structure in Complex Networks with Algorithmic Implementations
Programs and algorithms for analyzing community structures in complex networks, including implementations for calculating shortest paths between nodes, edge betweenness centrality, and other key network metrics.