Explore MATLAB source code curated for "邻接矩阵" with clean implementations, documentation, and examples.
The main program utilizes the `tu_plot` function for network graph visualization, requiring only the adjacency matrix and directed graph specification as inputs, with built-in parameter customization for graph aesthetics.
Calculate the assortativity coefficient using the network adjacency matrix, with implementation details for computing this key complex network parameter.
Generating network matrices or adjacency matrices with power law distribution for complex network analysis
MATLAB implementation of Prim's and Kruskal's algorithms with input specifications: x as adjacency matrix, p as node set, and output: spanning tree edge set G
Computing shortest paths and their lengths between any two nodes using Floyd's Algorithm, where D0 represents the graph's adjacency matrix. The algorithm iteratively updates the distance matrix to find optimal paths through dynamic programming.
Based on multi-agent consensus theory, an adjacency matrix is defined through the topological structure of multi-agent systems, enabling coordinated formation movement where multiple agents transition from dispersed initial positions to a predetermined configuration.
ISM Interpretive Structural Modeling algorithm for deriving reachability matrix from adjacency matrix and performing level partitioning
A practical MATLAB tool for converting complex network adjacency matrices directly into Pajek-readable .net format files, featuring specialized algorithms for network data transformation. Essential for complex network researchers and students.
MATLAB code for complex network Barabási-Albert model that returns the adjacency matrix of the network graph. The implementation utilizes sparse matrix storage to significantly optimize memory usage and computational efficiency. The algorithm follows preferential attachment principles to generate scale-free networks.
Comprehensive guide to network adjacency matrices with implementation examples