2007/07/20 by Francesco Sorrentino, M-Begoña Gómez-Devís, Francesc Llopis Rodrigo
Arts and Humanities · Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Literacy and Educational Practices #Neural Networks Stability and Synchronization #Nonlinear Dynamics and Pattern Formation #Spanish Linguistics and Language Studies #cond-mat.dis-nn
paper · pdf · doi:10.1063/1.2743098
published as Chaos (Vol.17, No.3) 2007 · Also available online at: http://link.aip.org/link/?CHA/17/033101
arxiv created 2007/08/08 · arxiv updated 2009/12/01 · openalex publication_date 2010/01/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/06/11
In a recent paper, it has been suggested that the controllability of a diffusively coupled complex network, subject to localized feedback loops at some of its vertices, can be assessed by means of a Master Stability Function approach, where the network controllability is defined in terms of the spectral properties of an appropriate Laplacian matrix. Following that approach, a comparison study is reported here among different network topologies in terms of their controllability. The effects of heterogeneity in the degree distribution, as well as of degree correlation and community structure, are discussed.