S
Shlomo Havlin
Researcher at Bar-Ilan University
Publications - 1049
Citations - 91619
Shlomo Havlin is an academic researcher from Bar-Ilan University. The author has contributed to research in topics: Percolation & Interdependent networks. The author has an hindex of 131, co-authored 1013 publications receiving 83347 citations. Previous affiliations of Shlomo Havlin include Massachusetts Institute of Technology & Semenov Institute of Chemical Physics.
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Journal ArticleDOI
Mosaic organization of DNA nucleotides
Chung-Kang Peng,Chung-Kang Peng,Chung-Kang Peng,Sergey V. Buldyrev,Sergey V. Buldyrev,Sergey V. Buldyrev,Shlomo Havlin,Shlomo Havlin,Shlomo Havlin,Michael Simons,Michael Simons,Michael Simons,H. E. Stanley,H. E. Stanley,H. E. Stanley,Ary L. Goldberger,Ary L. Goldberger,Ary L. Goldberger +17 more
TL;DR: This work analyzes two classes of controls consisting of patchy nucleotide sequences generated by different algorithms--one without and one with long-range power-law correlations, finding that both types of sequences are quantitatively distinguishable by an alternative fluctuation analysis method.
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Catastrophic cascade of failures in interdependent networks
Sergey V. Buldyrev,Sergey V. Buldyrev,Roni Parshani,Gerald Paul,H. Eugene Stanley,Shlomo Havlin +5 more
TL;DR: In this paper, the authors develop a framework for understanding the robustness of interacting networks subject to cascading failures and present exact analytical solutions for the critical fraction of nodes that, on removal, will lead to a failure cascade and to a complete fragmentation of two interdependent networks.
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Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series
TL;DR: A new method--detrended fluctuation analysis (DFA)--for quantifying this correlation property in non-stationary physiological time series is described and application of this technique shows evidence for a crossover phenomenon associated with a change in short and long-range scaling exponents.
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Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series
Jan W. Kantelhardt,Jan W. Kantelhardt,Stephan Zschiegner,Eva Koscielny-Bunde,Eva Koscielny-Bunde,Shlomo Havlin,Shlomo Havlin,Armin Bunde,H. Eugene Stanley +8 more
TL;DR: In this article, the authors developed a method for the multifractal characterization of nonstationary time series, which is based on a generalization of the detrended fluctuation analysis (DFA).
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Identification of influential spreaders in complex networks
Maksim Kitsak,Maksim Kitsak,Lazaros K. Gallos,Shlomo Havlin,Fredrik Liljeros,Lev Muchnik,H. Eugene Stanley,Hernán A. Makse +7 more
TL;DR: This paper showed that the most efficient spreaders are not always necessarily the most connected agents in a network, and that the position of an agent relative to the hierarchical topological organization of the network might be as important as its connectivity.