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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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Impact of non-Poissonian activity patterns on spreading processes.
TL;DR: It is shown that the non-Poisson nature of the contact dynamics results in prevalence decay times significantly larger than predicted by the standard Poisson process based models.
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Human dynamics: Darwin and Einstein correspondence patterns.
TL;DR: Darwin and Einstein's patterns of correspondence and today's electronic exchanges follow the same scaling laws, however, the response times of their surface-mail communication is described by a different scaling exponent from e- mail communication, providing evidence for a new class of phenomena in human dynamics.
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Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity
Qasim Khalil Beg,Alexei Vazquez,Jason Ernst,M. A. de Menezes,Ziv Bar-Joseph,Albert-László Barabási,Zoltán N. Oltvai +6 more
TL;DR: A flux balance model of Escherichia coli cell metabolism that takes into account a systems-level constraint for the concentration of enzymes catalyzing the various metabolic reactions in the crowded cytoplasm suggests that molecular crowding represents a bound on the achievable functional states of a metabolic network.
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Network-based approach to prediction and population-based validation of in silico drug repurposing
Feixiong Cheng,Feixiong Cheng,Rishi J. Desai,Diane E. Handy,Rui-Sheng Wang,Sebastian Schneeweiss,Albert-László Barabási,Joseph Loscalzo +7 more
TL;DR: It is demonstrated that a unique integration of protein-protein interaction network proximity and large-scale patient-level longitudinal data complemented by mechanistic in vitro studies can facilitate drug repurposing.
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Collective Response of Human Populations to Large-Scale Emergencies
TL;DR: In this article, the authors explore societal response to external perturbations and identify real-time changes in communication and mobility patterns in the vicinity of eight emergencies, such as bomb attacks and earthquakes, comparing these with eight non-emergencies, like concerts and sporting events.