TY - JOUR
T1 - Multi-hop generalized core percolation on complex networks
AU - Shang, Yilun
N1 - Funding Information:
This work was supported by a starting grant of Northumbria University and UoA Flexible Fund Grant No. 201920A1001. The author would like to thank the two anonymous reviewers and the Handling Editor Márton Karsai for valuable comments that helped improve the paper.
Publisher Copyright:
© 2020 World Scientific Publishing Company.
PY - 2020/2
Y1 - 2020/2
N2 - Recent theoretical studies on network robustness have focused primarily on attacks by random selection and global vision, but numerous real-life networks suffer from proximity-based breakdown. Here we introduce the multi-hop generalized core percolation on complex networks, where nodes with degree less than k and their neighbors within L-hop distance are removed progressively from the network. The resulting subgraph is referred to as G(k,L)-core, extending the recently proposed Gk-core and classical core of a network. We develop analytical frameworks based upon generating function formalism and rate equation method, showing for instance continuous phase transition for G(2,1)-core and discontinuous phase transition for G(k,L)-core with any other combination of k and L. We test our theoretical results on synthetic homogeneous and heterogeneous networks, as well as on a selection of large-scale real-world networks. This unravels, e.g., a unique crossover phenomenon rooted in heterogeneous networks, which raises a caution that endeavor to promote network-level robustness could backfire when multi-hop tracing is involved.
AB - Recent theoretical studies on network robustness have focused primarily on attacks by random selection and global vision, but numerous real-life networks suffer from proximity-based breakdown. Here we introduce the multi-hop generalized core percolation on complex networks, where nodes with degree less than k and their neighbors within L-hop distance are removed progressively from the network. The resulting subgraph is referred to as G(k,L)-core, extending the recently proposed Gk-core and classical core of a network. We develop analytical frameworks based upon generating function formalism and rate equation method, showing for instance continuous phase transition for G(2,1)-core and discontinuous phase transition for G(k,L)-core with any other combination of k and L. We test our theoretical results on synthetic homogeneous and heterogeneous networks, as well as on a selection of large-scale real-world networks. This unravels, e.g., a unique crossover phenomenon rooted in heterogeneous networks, which raises a caution that endeavor to promote network-level robustness could backfire when multi-hop tracing is involved.
KW - Phase transition
KW - core
KW - generating function
KW - random network
KW - rate equation
UR - http://www.scopus.com/inward/record.url?scp=85082510640&partnerID=8YFLogxK
U2 - 10.1142/s0219525920500010
DO - 10.1142/s0219525920500010
M3 - Article
SN - 0219-5259
VL - 23
JO - Advances in Complex Systems
JF - Advances in Complex Systems
IS - 01
M1 - 2050001
ER -