H
Hawoong Jeong
Researcher at KAIST
Publications - 200
Citations - 46489
Hawoong Jeong is an academic researcher from KAIST. The author has contributed to research in topics: Complex network & Evolving networks. The author has an hindex of 50, co-authored 191 publications receiving 43724 citations. Previous affiliations of Hawoong Jeong include Asia Pacific Center for Theoretical Physics & Seoul National University.
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Error and attack tolerance of complex networks
TL;DR: It is found that scale-free networks, which include the World-Wide Web, the Internet, social networks and cells, display an unexpected degree of robustness, the ability of their nodes to communicate being unaffected even by unrealistically high failure rates.
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Lethality and centrality in protein networks
TL;DR: It is demonstrated that the phenotypic consequence of a single gene deletion in the yeast Saccharomyces cerevisiae is affected to a large extent by the topological position of its protein product in the complex hierarchical web of molecular interactions.
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The large-scale organization of metabolic networks
TL;DR: In this paper, the authors present a systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life, and show that despite significant variation in their individual constituents and pathways, these metabolic networks have the same topological scaling properties and show striking similarities to the inherent organization of complex non-biological systems.
The large-scale organization of metabolic networks
Hawoong Jeong,B. Tombor,Réka Albert,Z. N. Oltavai,Albert-László Barabási,T. Dandekar,Stefan Schuster +6 more
TL;DR: This analysis of metabolic networks of 43 organisms representing all three domains of life shows that, despite significant variation in their individual constituents and pathways, these metabolic networks have the same topological scaling properties and show striking similarities to the inherent organization of complex non-biological systems.
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Diameter of the World-Wide Web
TL;DR: The World-Wide Web becomes a large directed graph whose vertices are documents and whose edges are links that point from one document to another, which determines the web's connectivity and consequently how effectively the authors can locate information on it.