Réka Albert
Réka Albert is a Romanian-Hungarian scientist. She is a distinguished professor of physics and adjunct professor of biology at Pennsylvania State University and is noted for the Barabási–Albert model and research into scale-free networks and Boolean modeling of biological systems.Education
Albert was born in Reghin, a city in Mureș County, located in the historical region of Transylvania, in the north-central part of Romania. She obtained her B.S. and M.S. degrees from Babeș-Bolyai University in Cluj-Napoca, Romania, in 1995 and 1996, respectively. She earned her Ph.D. at the University of Notre Dame in 2001.Work
Albert is co-creator, together with Albert-László Barabási, of the Barabási–Albert algorithm for generating scale-free random graphs via preferential attachment.
Her work extends to networks in a very general sense, involving for instance investigations on the error tolerance of the world-wide web and on the vulnerability of the North American power grid.
Her current research focuses on dynamic modeling of biological networks and systems biology.Awards
Albert was selected as a Sloan Research Fellow in 2004, was awarded an National Science Foundation CAREER Award in 2007.
She was named Fellow of the American Physical Society in 2010. One year later she received the Maria Goeppert-Mayer Award.. In 2016 she was inducted as an external member of the Hungarian Academy of Sciences. In 2018 Reka Albert was elected Fellow of the Network Science Society. She was elected a Fellow of the American Association for the Advancement of Science in 2019.Selected publications
- Albert R., Barabási A.-L.: Statistical mechanics of complex networks, Reviews of Modern Physics, Vol. 74, Nr. 1, pp. 47–97, 2002,,
- Jeong H., Tombor B., Albert R., Oltvai Z.N., Barabási A.-L.: The large-scale organization of metabolic networks, Nature 407, pp. 651–654, 2000,
- Albert R., Jeong H., Barabási A.-L.: Error and attack tolerance of complex networks, Nature 406, pp. 378–382, 2000,,
- Barabási A.-L., Albert R.: Emergence of scaling in random networks, Science, Vol. 286, Nr. 5439, pp. 509–12, 15 October 1999,,