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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
Identifying the structural discontinuities of human interactions
Sebastian Grauwin,Michael Szell,Stanislav Sobolevsky,Philipp Hövel,Filippo Simini,Maarten Vanhoof,Zbigniew Smoreda,Albert-László Barabási,Carlo Ratti +8 more
TL;DR: In this article, the authors analyze several country-wide networks of telephone calls and uncover a systematic decrease of communication induced by borders which they identify as the missing variable in state-of-the-art models.
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Spatial ordering of stacked quantum dots
TL;DR: In this paper, the authors investigate the growth conditions necessary to form an ordered quantum dot crystal by capping spatially ordered quantum dots and growing a new layer of dots on top of the capping layer.
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Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes.
Amitabh Sharma,Arda Halu,Julius L. Decano,Megha Padi,Yang-Yu Liu,Rashmi B. Prasad,João Fadista,Marc Santolini,Marc Santolini,Jörg Menche,Scott T. Weiss,Marc Vidal,Edwin K. Silverman,Masanori Aikawa,Albert-László Barabási,Leif Groop,Joseph Loscalzo +16 more
TL;DR: A tissue-specific gene regulatory network derived from human pancreatic islets is constructed and the genes that control the network are determined, using the concept of “control centrality.” Pathways with high control centrality were significantly more associated with Type 2 Diabetes (T2D), and harbored loci that significantly affected gene expression related to glucose levels.
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From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration
David Gomez-Cabrero,Jörg Menche,Jörg Menche,Jörg Menche,Claudia Vargas,Isaac Cano,Dieter Maier,Albert-László Barabási,Jesper Tegnér,Josep Roca +9 more
TL;DR: A systematic integrative data-driven framework to identify shared disease-associated genes and pathways, as a proxy for the underlying generative mechanisms inducing comorbidity, provides novel insights in COPD and especially COPD co-morbidity associated mechanisms.
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Driven Interfaces in Disordered Media: Determination of Universality Classes from Experimental Data
TL;DR: The morphological evolution of an interface driven through a disordered medium has been studied in this paper, where it has been shown that the morphology of the interface can be either selfsimilar or self-affine.