A new complex network model, called q-snapback network, is introduced. Basic topological characteristics of the network, such as degree distribution, average path length, clustering coefficient, and Pearson correlation coefficient, are evaluated. The typical 4-motifs of the network are simulated. The robustness of both state and structural controllabilities of the network against targeted and random node- and edge-removal attacks, with comparisons to the multiplex congruence network and the generic scale-free network, are presented. It is shown that the q-snapback network has the strongest robustness of controllabilities due to its advantageous inherent structure with many chain and loop motifs.
|Number of pages||9|
|Journal||IEEE Transactions on Circuits and Systems I: Regular Papers|
|Early online date||16 Apr 2018|
|Publication status||Published - Sep 2018|
Bibliographical noteFunding Information:
This work was supported in part by the Hong Kong Research Grants Council through the GRF under Grant CityU 11200317, in part by the National Natural Science Foundation of China under Grant 61473189, and in part by the Natural Science Foundation of Shanghai under Grant 17ZR1445200.
© 2004-2012 IEEE.
- Complex network
- robustness against attack
- snapback network
- state controllability
- structural controllability