Block matrix models for dynamic networks

2021 ◽  
Vol 402 ◽  
pp. 126121
Author(s):  
Mohammed Al Mugahwi ◽  
Omar De La Cruz Cabrera ◽  
Caterina Fenu ◽  
Lothar Reichel ◽  
Giuseppe Rodriguez
Keyword(s):  
Matrix Models ◽  
Dynamic Networks ◽  
Block Matrix

Mathematics of networks

2018 ◽  
Author(s):  
Mark Newman
Keyword(s):  
Random Walks ◽  
Adjacency Matrix ◽  
Graph Partitioning ◽  
Dynamic Networks ◽  
Graph Laplacian ◽  
Network Visualization ◽  
Final Part ◽  
Bipartite Networks ◽  
Component Structure ◽  
Basic Properties

An introduction to the mathematical tools used in the study of networks. Topics discussed include: the adjacency matrix; weighted, directed, acyclic, and bipartite networks; multilayer and dynamic networks; trees; planar networks. Some basic properties of networks are then discussed, including degrees, density and sparsity, paths on networks, component structure, and connectivity and cut sets. The final part of the chapter focuses on the graph Laplacian and its applications to network visualization, graph partitioning, the theory of random walks, and other problems.

Routing in Large-scale Dynamic Networks

2020 ◽  
Vol 20 (4) ◽  
pp. 1-24
Author(s):  
Weichao Gao ◽  
James Nguyen ◽  
Yalong Wu ◽  
William G. Hatcher ◽  
Wei Yu
Keyword(s):  
Large Scale ◽  
Dynamic Networks

Re-analysis method for inversion of block matrix based on change threshold

2021 ◽  
Vol 94 ◽  
pp. 780-790
Author(s):  
Biliang Cheng ◽  
Huping Mao ◽  
Quan Sun ◽  
Feng Jia ◽  
Peng Zhang
Keyword(s):  
Block Matrix ◽  
Analysis Method ◽  
Change Threshold
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