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Manlio De Domenico
Born
Manlio De Domenico

1984
Italy
NationalityItalian
CitizenshipItalian
Alma materUniversity of Catania (Ph.D)
Scientific career
Fieldsnetwork science, multilayer networks, complex adaptive systems
InstitutionsUniversity of Padua
Fondazione Bruno Kessler
University of Rovira i Virgili
MPIPKS
University of Birmingham
Scuola superiore di Catania

Manlio De Domenico is an Italian physicist and complex systems scientist, currently Professor of Physics at the University of Padua and previously at the Fondazione Bruno Kessler in Trento (Italy). In 2014 he has co-founded the Mediterranean School of Complex Networks,[1] and in 2019 he has contributed to found the Italian Chapter of the Complex Systems Society.[2]

The focus of his research is on complex adaptive systems and big data analysis, where he is best known for his theoretical and computational work in network science, statistical physics and nonlinear dynamics of multilayer systems.[3]

Early life and education

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He was born in Messina in 1984. He got his Ph.D in Nuclear and Astroparticle physics from the University of Catania and the Scuola Superiore di Catania in 2012, proposing a data-driven model for the propagation of Ultra-High Energy Cosmic Rays (UHECR) in a magnetized Universe and a multiscale approach to analyze their anisotropic distribution at Earth,[4] with visiting scholarships at the Institute for Nuclear Theory[5] of the University of Washington and the Institut de physique nucléaire d'Orsay.

Career and research

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He held postdoctoral positions (2012-2013) at the School of Computer Science of the University of Birmingham (UK), and (2013-2016) at the University of Rovira i Virgili (Spain). In 2016 he has been a visiting scholar at the Max Planck Institute for the Physics of Complex Systems. From 2016 to 2018 he hold the “Juan de la Cierva” senior fellowship at the University of Rovira i Virgili. Since 2018 he directs the Complex Multilayer Networks (CoMuNe) Lab[6] founded at the Fondazione Bruno Kessler.

He has published more than 150 scientific papers,[7] with interdisciplinary contributions in computational social science, network epidemiology, network neuroscience, network medicine and systems biology. Notable works include the tensorial formulation of multilayer structure and dynamics,[3][8][9] applications to community structure[10] and coupling of human behavior with epidemic spreading,[11] network geometry,[12][13] network entropy for multiscale analysis of the interplay between structure and dynamics,[14] percolation and network robustness to perturbations,[15][16][17][18] Infodemic.[19][20]

His collaborators include Alex Arenas, Sylvie Briand, Guido Caldarelli, James Cronin, Shlomo Havlin, Vito Latora, Yamir Moreno, Mason Porter, Steven Strogatz and Alan Andrew Watson.

Awards and honours

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In 2023, he was awarded a significant grant from the Fondo Italiano per la Scienza (FIS) of the Italian Ministry of University and Research, distinguishing himself as one of 47 exceptional scientists selected from 1,912 applicants. This grant provides substantial research funding aimed at developing optimal strategies for adapting human-made systems and networks to the current and future effects of climate change, addressing key challenges at the intersection of complex systems science and environmental change.

Other awards and recognitions:

Trivia

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His influential article, Complesso è diverso da complicato: per questo serve multidisciplinarietà, which discusses the difference between complex and complicated systems and argues for the importance of multidisciplinarity, was featured in Il Sole 24 Ore (Nòva supplement, 6 March 2022, p. 18). This piece was selected by the Italian Ministry of Education as one of the three texts for the 2022 supplementary session of the upper secondary education Italian exams, alongside works by W. Churchill and Philippe Daverio. [External Link to the Italian Exam Document](https://www.istruzione.it/esame_di_stato/202122/Italiano/Suppletiva/P000_SUP22.pdf)


References

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  1. ^ "MSCX.net: Mediterranean School on Complex Networks".
  2. ^ "CSS/Italy".
  3. ^ a b De Domenico, Manlio; Solé-Ribalta, Albert; Cozzo, Emanuele; Kivelä, Mikko; Moreno, Yamir; Porter, Mason A.; Gómez, Sergio; Arenas, Alex (December 2013). "Mathematical Formulation of Multilayer Networks". Physical Review X. 3 (4): 041022. arXiv:1307.4977. doi:10.1103/PhysRevX.3.041022. S2CID 16611157.
  4. ^ De Domenico, Manlio. "Propagation of Ultra-high energy cosmic rays and anisotropy studies with the Pierre Auger Observatory: the multiscale approach". CiteSeerX 10.1.1.712.3911. {{cite journal}}: Cite journal requires |journal= (help)
  5. ^ "Institute for Nuclear Theory". Retrieved 1 October 2021.
  6. ^ "CoMuNe Lab". Retrieved 1 October 2021.
  7. ^ "M. De Domenico on Scopus". Retrieved 1 October 2021.
  8. ^ De Domenico, Manlio; Granell, Clara; Porter, Mason A.; Arenas, Alex (2016-08-22). "The physics of spreading processes in multilayer networks". Nature Physics. 12 (10). Springer Science and Business Media LLC: 901–906. arXiv:1604.02021. doi:10.1038/nphys3865. ISSN 1745-2473. S2CID 5063264.
  9. ^ De Domenico, Manlio (2023-08-28). "More is different in real-world multilayer networks". Nature Physics. 19. Springer Science and Business Media LLC: 1247–1262. doi:10.1038/s41567-023-02132-1. ISSN 1745-2473.
  10. ^ De Domenico, Manlio; Lancichinetti, Andrea; Arenas, Alex; Rosvall, Martin (2015-03-06). "Identifying Modular Flows on Multilayer Networks Reveals Highly Overlapping Organization in Interconnected Systems". Physical Review X. 5 (1): 011027. arXiv:1408.2925. doi:10.1103/physrevx.5.011027. ISSN 2160-3308. S2CID 6364922.
  11. ^ Bosetti, Paolo; Poletti, Piero; Stella, Massimo; Lepri, Bruno; Merler, Stefano; De Domenico, Manlio (2020). "Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks". Proceedings of the National Academy of Sciences. 117 (48): 30118–30125. doi:10.1073/pnas.1920986117. PMC 7720222. PMID 33203683.
  12. ^ De Domenico, Manlio (2017-04-17). "Diffusion Geometry Unravels the Emergence of Functional Clusters in Collective Phenomena". Physical Review Letters. 118 (16): 168301. arXiv:1704.07068. doi:10.1103/physrevlett.118.168301. ISSN 0031-9007. PMID 28474920. S2CID 2638868.
  13. ^ Boguñá, Marián; Bonamassa, Ivan; De Domenico, Manlio; Havlin, Shlomo; Krioukov, Dmitri; Serrano, M. Ángeles (2021-01-29). "Network geometry". Nature Reviews Physics. 3 (2). Springer Science and Business Media LLC: 114–135. arXiv:2001.03241. doi:10.1038/s42254-020-00264-4. ISSN 2522-5820. S2CID 210157073.
  14. ^ De Domenico, Manlio; Biamonte, Jacob (2016-11-01). "Spectral entropies as information-theoretic tools for complex network comparison". Physical Review X. 6 (4): 041062. arXiv:1609.01214. doi:10.1103/PhysRevX.6.041062. S2CID 51786781.
  15. ^ De Domenico, M.; Sole-Ribalta, A.; Gomez, S.; Arenas, A. (2014-05-27). "Navigability of interconnected networks under random failures". Proceedings of the National Academy of Sciences. 111 (23): 8351–8356. doi:10.1073/pnas.1318469111. ISSN 0027-8424. PMC 4060702. PMID 24912174.
  16. ^ Artime, Oriol; De Domenico, Manlio (2021-04-30). "Percolation on feature-enriched interconnected systems". Nature Communications. 12 (1): 2478. arXiv:2104.14893. doi:10.1038/s41467-021-22721-z. ISSN 2041-1723. PMC 8087700. PMID 33931643.
  17. ^ Grassia, Marco; Mangioni, Giuseppe; De Domenico, Manlio (2021-08-31). "Machine learning dismantling and early-warning signals of disintegration in complex systems". Nature Communications. 12 (23): 5190. arXiv:2101.02453. doi:10.1038/s41467-021-25485-8. ISSN 2041-1723. PMC 8408155. PMID 34465786.
  18. ^ Artime, Oriol; Grassia, Marco; De Domenico, Manlio; Gleeson, James P.; Makse, Hernán A.; Mangioni, Giuseppe; Perc, Matjaž; Radicchi, Filippo (2024-01-08). "Robustness and resilience of complex networks". Nature Reviews Physics: 1–18. doi:10.1038/s42254-023-00676-y. ISSN 2522-5820.
  19. ^ Gallotti, Riccardo; Valle, Francesco; Castaldo, Nicola; Sacco, Pierluigi; De Domenico, Manlio (2020-10-29). "Assessing the risks of 'infodemics' in response to COVID-19 epidemics". Nature Human Behaviour. 4 (12). Springer Science and Business Media LLC: 1285–1293. arXiv:2004.03997. doi:10.1038/s41562-020-00994-6. ISSN 2397-3374. PMID 33122812. S2CID 226206314.
  20. ^ "Covid19 Infodemics Observatory". Retrieved 1 October 2021.
  21. ^ "Young Scientist Award for Socio- and Econophysics". Retrieved 1 October 2021.
  22. ^ "Young Scientist Award for Socio- and Econophysics - 2020".
  23. ^ "IUPAP-C3 Young Scientist Award on Statistical Physics". 8 March 2021. Retrieved 1 October 2021.
  24. ^ "Junior scientific award - CCS". Retrieved 1 October 2021.
  25. ^ "INFN Prizes 2013" (PDF).
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