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675 .
Robustness of a network formed of spatially embedded networks
L.M. Shekhtman, Y. Berezin, M.M. Danziger, S. Havlin
Phys. Rev. E
90 ,
12809
2014
)
680 .
Nonconsensus opinion model on directed networks
B. Qu, Q. Li, S. Havlin, H.E. Stanley, H. Wang
Phys. Rev. E
90 ,
52811
2014
)
686 .
Efficiency of message transmission using biased random walks in complex networks in the presence of traps
L. Skarpalezos, A. Kittas, P. Argyrakis, R. Cohen, S. Havlin
Phys. Rev. E
91 ,
12817
2015
)
692 .
How breadth of degree distribution influences network robustness: Comparing localized and random attacks
X. Yuan, S. Shao, H.E. Stanley, S. Havlin
Phys. Rev. E
92 ,
32122
2015
)
697 .
Critical tipping point distinguishing two types of transitions in modular network structures
S. Shai, D.Y. Kenett, Y.N. Kenett, M. Faust, S. Dobson, S. Havlin
Phys. Rev. E
92 ,
62805
2015
)
709 .
k-core percolation on complex networks: Comparing random, localized, and targeted attacks
X. Yuan, Y. Dai, H.E. Stanley, S. Havlin
Phys. Rev. E
93 ,
62302
2016
)
720 .
Optimal cost for strengthening or destroying a given network
A. Patron, R. Cohen, D. Li, S. Havlin
Phys. Rev. E
95 ,
52305
2017
)
729 .
Generalized model for k-core percolation and interdependent networks
NK Panduranga, J Gao, X Yuan, HE Stanley, S Havlin
Phys. Rev. E
96 ,
32317
2017
)
735 .
Spontaneous repulsion in the A+ B→ 0 reaction on coupled networks
F Lazaridis, B Gross, M Maragakis, P Argyrakis, I Bonamassa, S Havlin, R Cohen
Phys. Rev. E
97 ,
40301
2018
)
834 .
Effect of cities and distance on COVID-19 spreading in the United States
Troy McMahon, Shlomo Havlin, Lazaros K Gallos
Phys. Rev. E
107 ,
034302
2023
)
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