L
Lazaros K. Gallos
Researcher at Rutgers University
Publications - 72
Citations - 5509
Lazaros K. Gallos is an academic researcher from Rutgers University. The author has contributed to research in topics: Complex network & Population. The author has an hindex of 24, co-authored 69 publications receiving 4770 citations. Previous affiliations of Lazaros K. Gallos include City College of New York & Aristotle University of Thessaloniki.
Papers
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Journal ArticleDOI
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.
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A small world of weak ties provides optimal global integration of self-similar modules in functional brain networks
TL;DR: It is shown that a modified percolation theory can define a set of hierarchically organized modules made of strong links in functional brain networks, which are far from being small-world but which suggest a natural solution to the paradox of efficient information flow in the highly modular structure of the brain.
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How to calculate the fractal dimension of a complex network: the box covering algorithm
TL;DR: It is argued that the algorithms presented provide a solution close to optimal and that another algorithm that can significantly improve this result in an efficient way does not exist.
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Stability and topology of scale-free networks under attack and defense strategies.
TL;DR: It is found that, for an intentional attack, little knowledge of the well-connected sites is sufficient to strongly reduce p(c), and at criticality, the topology of the network depends on the removal strategy, implying that different strategies may lead to different kinds of percolation transitions.
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Scaling theory of transport in complex biological networks.
TL;DR: A scaling theory of transport in self-similar networks is developed, and the networks invariance under length scale renormalization is demonstrated, and it is shown that the problem of transport can be characterized in terms of a set of critical exponents.