TY - JOUR
T1 - The resilience of complex network
T2 - An approach for relevant nodes extraction
AU - Ramirez-Arellano, Aldo
AU - Bory-Reyes, Juan
N1 - Publisher Copyright:
© 2021 World Scientific Publishing Company.
PY - 2021/2
Y1 - 2021/2
N2 - In this paper, a new algorithm to select the relevant nodes-those that maintain the cohesion of the network-of the complex network is presented. The experiments on most of the real complex networks show that the proposed approach outperforms centrality measures as node degree, PageRank algorithm and betweenness centrality. The rationale of the algorithm for extracting relevant nodes is to discover the self-similarity of the network. As seen in the algorithm, throughout the extraction sequence of relevant nodes, differences are advised with node degree, PageRank algorithm and betweenness centrality. Finally, empirical evidence is considered to show that complex network robustness is a nonlinear function of the small-worldness measure.
AB - In this paper, a new algorithm to select the relevant nodes-those that maintain the cohesion of the network-of the complex network is presented. The experiments on most of the real complex networks show that the proposed approach outperforms centrality measures as node degree, PageRank algorithm and betweenness centrality. The rationale of the algorithm for extracting relevant nodes is to discover the self-similarity of the network. As seen in the algorithm, throughout the extraction sequence of relevant nodes, differences are advised with node degree, PageRank algorithm and betweenness centrality. Finally, empirical evidence is considered to show that complex network robustness is a nonlinear function of the small-worldness measure.
KW - Complex Networks
KW - Fractals
KW - Relevant Nodes
KW - Resilience
KW - Small-World
UR - http://www.scopus.com/inward/record.url?scp=85100434785&partnerID=8YFLogxK
U2 - 10.1142/S0218348X21500092
DO - 10.1142/S0218348X21500092
M3 - Artículo
AN - SCOPUS:85100434785
SN - 0218-348X
VL - 29
JO - Fractals
JF - Fractals
IS - 1
M1 - 2150009
ER -