arrow
Return

Block matrix models for dynamic networks

delete2021-08-01
delete5
delete
OA
AI
M
Mohammed Al Mugahwi
O
Omar De la Cruz Cabrera
C
Caterina Fenu *
L
Lothar Reichel
G
G. Rodríguez
DOI:10.1016/j.amc.2021.126121delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Networks in which connections change over time arise in many applications, e.g., when modeling phone calls and flights between airports. This paper discusses new ways to define adjacency matrices associated with this kind of networks. We propose that dynamic networks be modeled with the aid of block upper triangular adjacency matrices. Both modeling and computational aspects are discussed. Several applications to real dynamic networks are presented and illustrate the advantages of the proposed method when compared with an available approach. (C) 2021 Elsevier Inc. All rights reserved.
Keywords:
Time-dependent centrality
Complex network
Evolving network
Graph
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Applied Mathematics and Computation cover
Applied Mathematics and Computation
IF:
3.4
Papers:
2.3W
Citations:
3.3W

Organization

K
Kent State University
Scholars:
2.7K
Papers: 2.3K
Citations: 6.6K
U
University System of Ohio
Scholars:
15.4W
Papers: 13.0W
Citations: 200