Title :
Robustness and Fragility of a New Local-World Dynamical Network Model
Author :
Peizhong Liu ; Minghang Wang ; Ping Li
Author_Institution :
EDA Lab., Xiamen Univ., Xiamen, China
fDate :
June 30 2014-July 2 2014
Abstract :
In the paper, we have proposed a local-world synchronization-preferential growth topology model. The synchronizability of a class of continuous-time local-world dynamical networks is investigated. Then it has been found that the synchronizability of the dynamical network with the local-world synchronization-preferential mechanism is robust against not only the random removal of vertices but also the specific removal of those most connected vertices.
Keywords :
network theory (graphs); topology; vertex functions; continuous-time local-world dynamical networks; dynamical network synchronizability; local-world dynamical network model; local-world synchronization-preferential growth topology model; local-world synchronization-preferential mechanism; vertex removal; Complex networks; Couplings; Eigenvalues and eigenfunctions; Robustness; Synchronization; Topology; synchronization-preferential; local-world; robust-ness; fragility;
Conference_Titel :
Software Security and Reliability-Companion (SERE-C), 2014 IEEE Eighth International Conference on
Conference_Location :
San Francisco, CA
DOI :
10.1109/SERE-C.2014.53
