Albert-László Barabási

Barabási at the [[World Economic Forum]] Annual Meeting of the New Champions in 2012 Albert-László Barabási (born March 30, 1967) is a Romanian-born Hungarian-American physicist, renowned for his pioneering discoveries in network science and network medicine.

He is a distinguished university professor and Robert Gray Professor of Network Science at Northeastern University, holding additional appointments at the Department of Medicine, Harvard Medical School and the Department of Network and Data Science at Central European University. Barabási previously served as the former Emil T. Hofmann Professor of Physics at the University of Notre Dame and was an associate member of the Center of Cancer Systems Biology at the Dana–Farber Cancer Institute, Harvard University.

In 1999 Barabási discovered the concept of scale-free networks and proposed the Barabási–Albert model, which explains the widespread emergence of such networks in natural, technological and social systems, including the World Wide Web and online communities. Barabási is the founding president of the Network Science Society, which sponsors the flagship NetSci Conference established in 2006. Provided by Wikipedia
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    Collective response of human populations to large-scale emergencies.
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    Publisher Correction: Network-based prediction of drug combinations
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    Network-based prediction of drug combinations
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    Network-based in silico drug efficacy screening
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    A systematic comprehensive longitudinal evaluation of dietary factors associated with acute myocardial infarction and fatal coronary heart disease
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    A dynamic network approach for the study of human phenotypes.
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    Network-based approach to prediction and population-based validation of in silico drug repurposing
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    Integrating personalized gene expression profiles into predictive disease-associated gene pools
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    Author Correction: Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
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    Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
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    Social network structure and composition in former NFL football players
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    Network-based prediction of protein interactions
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    PARP9 and PARP14 cross-regulate macrophage activation via STAT1 ADP-ribosylation
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    Viral perturbations of host networks reflect disease etiology.
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