0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThis brief introduces a quantitative measure of the robustness of network controllability, and presents an empirical comparison on 6 network models, i.e., random-graph network, scale-free network, multiplex concurrence network, q-snapback network, random triangle network, and random rectangle network, against 6 different attacks, i.e., betweenness-based and degree-based, random and targeted, node-removal, and edge-removal attacks, showing the overall good performances of the multi-ring structure in networks.
Guanrong Chen, Yang Lou, Lin Wang (2019). A Comparative Study on Controllability Robustness of Complex Networks. IEEE Transactions on Circuits & Systems II Express Briefs, 66(5), pp. 828-832, DOI: 10.1109/tcsii.2019.2908435.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2019
Authors
3
Datasets
0
Total Files
0
Language
English
Journal
IEEE Transactions on Circuits & Systems II Express Briefs
DOI
10.1109/tcsii.2019.2908435
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
