Output details
11 - Computer Science and Informatics
Brunel University London
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Output 0 of 0 in the submission
Article title
A constrained evolutionary computation method for detecting controlling regions of cortical networks
Type
D - Journal article
Title of journal
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Article number
-
Volume number
9
Issue number
6
First page of article
1569
ISSN of journal
1545-5963
Year of publication
2012
Number of additional authors
4
Additional information
<22> The paper has solved the open problem of optimally selecting the set of controlling regions in weighted directed complex networks and shown that the controlling regions are largely dependent on the number of driver nodes and the constraints. These findings have drawn quick research interests from the community since its publication less than one year ago, and should have practical significance in exploring the best way of controlling a complex network.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
20
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
