Ginestra Bianconi

Ginestra Bianconi is a network scientist and mathematical physicist, known for her work on statistical mechanics, network theory, and multilayer networks, and in particular for the Bianconi–Barabási model of growing of complex networks.[1][2] and for the Bose-Einstein condensation (network theory) in complex networks [3]. She is a professor of applied mathematics at Queen Mary University of London,[4] and the editor-in-chief of Journal of Physics: Complexity.[5]

Ginestra Bianconi
Alma mater
Known for
Scientific career
Fields
Institutions
Doctoral advisorAlbert-László Barabási

Education and career

Bianconi earned a laurea in physics from Sapienza University of Rome in 1998, advised by Luciano Pietronero, and a PhD from the University of Notre Dame in 2002, advised by Albert-László Barabási.[4]

After postdoctoral research at the University of Fribourg in Switzerland and the International Centre for Theoretical Physics in Italy, she became an assistant professor at Northeastern University in 2009. She moved to Queen Mary University of London in 2013, and became professor there in 2019. Since 2018 she is an Alan Turing Fellow at the Alan Turing Institute.[4]

Book

Bianconi is author of the book Multilayer Networks: Structure and Function (Oxford University Press, 2018).[6]

Honours

Bianconi was awarded in 2020 with the Network Society Fellowship[7]

References
  1. Nunes, Thiago C; Brito, Samurai; da Silva, Luciano R; Tsallis, Constantino (September 2017), "Role of dimensionality in preferential attachment growth in the Bianconi–Barabási model", Journal of Statistical Mechanics: Theory and Experiment, 2017 (9): 093402, arXiv:1705.00014, doi:10.1088/1742-5468/aa8198, S2CID 119242874
  2. "Professor Ginestra Bianconi", ECMI 2020 plenary speakers, retrieved 2020-09-27
  3. Network Science Fellows, Network Science Society, retrieved 2020-12-11
  4. Ginestra Bianconi's Short Biography, Queen Mary University of London, retrieved 2020-09-29
  5. "Editorial board", Journal of Physics: Complexity, IOP Science, retrieved 2020-09-27
  6. Zbl 1391.94004 (indexed but not reviewed)
  7. https://netscisociety.net/award-prizes/society-fellows
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