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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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Network-based prediction of drug combinations.

TL;DR: A network-based methodology to identify efficacious drug combinations for specific diseases is proposed, and it is found that successful combinations tend to target separate neighbourhoods of the disease module in the human interactome.
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Deterministic scale-free networks

TL;DR: This work proposes a simple model that generates scale-free networks in a deterministic fashion, and solves exactly the model, showing that the tail of the degree distribution follows a power law.
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The implications of human metabolic network topology for disease comorbidity

TL;DR: In this article, a bipartite human disease association network is constructed, where nodes are diseases and two diseases are linked if mutated enzymes associated with them catalyze adjacent metabolic reactions.
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Analysis of a large-scale weighted network of one-to-one human communication

TL;DR: A connected network of 3.9 million nodes from mobile phone call records is constructed, which can be regarded as a proxy for the underlying human communication network at the societal level and a positive correlation between the overlap and weight of a link is reported.
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Dynamic scaling of ion-sputtered surfaces.

TL;DR: A stochastic nonlinear equation is derived to describe the evolution and scaling properties of surfaces eroded by ion bombardment and finds that transitions may take place between various scaling behaviors when experimental parameters, such as the angle of incidence of the incoming ions or their average penetration depth, are varied.