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Albert-László Barabási

Researcher at Northeastern University

Publications -  463
Citations -  217721

Albert-László Barabási is an academic researcher from Northeastern University. The author has contributed to research in topics: Complex network & Network science. The author has an hindex of 152, co-authored 438 publications receiving 200119 citations. Previous affiliations of Albert-László Barabási include Budapest University of Technology and Economics & Lawrence Livermore National Laboratory.

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Journal ArticleDOI

The Activity Reaction Core and Plasticity of Metabolic Networks

TL;DR: Flux-balance analysis is used to thoroughly assess the activity of Escherichia coli, Helicobacter pylori, and Saccharomyces cerevisiae metabolism in 30,000 diverse simulated environments and finds that most current antibiotics interfering with bacterial metabolism target the core enzymes.
Posted Content

Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes

TL;DR: In this article, a reinforced Poisson process is used to model explicitly the process through which individual items gain their popularity, and a generative probabilistic framework is proposed to predict the popularity dynamics of individual items within a complex evolving system.
Journal ArticleDOI

Deposition, diffusion, and aggregation of atoms on surfaces: A model for nanostructure growth

TL;DR: In this article, a model that describes the diffusion-controlled aggregation exhibited by particles as they are deposited on a surface is proposed, which incorporates deposition, particle and cluster diffusion, and aggregation, inspired by recent thin-film-deposition experiments.
Journal ArticleDOI

The large-scale organization of metabolic networks

TL;DR: In this article, the authors present the first systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life and show that, despite significant variances in their individual constituents and pathways, these metabolic networks display the same topologic scaling properties demonstrating striking similarities to the inherent organization of complex non-biological systems.
Proceedings ArticleDOI

Scale‐Free and Hierarchical Structures in Complex Networks

TL;DR: Recent advances in the characterization of complex networks are reviewed, focusing the emergence of the scale-free and the hierarchical architecture and the impact of the network topology on the ability to stop the spread of viruses in complex networks.