Enhancing Controllability Robustness of q-Snapback Networks through Redirecting Edges
Bibliographic Data
| ID | 19149452 |
|---|---|
| Authors | Yang Lou (0000-0002-8310-8150, City University of Hong Kong, corresponding author), Lin Wang (0000-0003-3048-1776, Shanghai Jiao Tong University), Guanrong Chen (0000-0003-1381-7418, City University of Hong Kong) |
| Year | 2019 |
| Volume | 2019 |
| Pages | 7857534-7857534 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Research (JOURNAL) |
| Journal identifiers | ISSN: 2407-9529 • E-ISSN: 2639-5274 |
| Publisher | American Association for the Advancement of Science (PUBLISHER • US) |
| DOI | 10.34133/2019/7857534 |
| PMID | 32043081 |
| OpenAlex | W2966299151 |
| Language | EN |
| References cited | 22 |
The well-known small-world network model was established by randomly rewiring edges, aiming to enhance the synchronizability of an undirected nearest-neighbor regular network. This paper demonstrates via extensive numerical simulations that randomly redirecting edges could enhance the robustness of the network controllability for directed snapback networks against both random and intentional node-removal and edge-removal attacks
Combinatorics · Complex network · Controllability · Distributed computing · Enhanced Data Rates for GSM Evolution · Network controllability · Snapback · Computer Science · Engineering · Mathematics · Neural Networks Stability and Synchronization · Nonlinear Dynamics and Pattern Formation · Opinion Dynamics and Social Influence · Applied Mathematics · Artificial Intelligence
| Highly cited | No |
|---|