Publications

  1. U. Fugiglando, E. Massaro, P. Santi, S. Milardo, K. Abida, R. Stahlmann, F. Netter, C. Ratti, Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment, IEEE Transactions on Intelligent Transportation Systems 99 20(2), pp 737-748 (2019)​
  2. F. Bagnoli, E. Bellini, E. Massaro, R. Rechtman, Percolation and Internet Science, Future Internet 11 (2), 35, 2019
  3. E. Massaro, A. Ganin, N. Perra, I. Linkov and A. Vespignani, Resilience management during large-scale epidemic outbreaks,  Nature Scientific Reports 8, 1859 (2018) (in the news; EPFL News, Phys.org, Laboratory Equipment, SwissInfo, Technology Networks)
  4. B. Behooroz, E. Massaro, I. Bojic,  S. Sobolevsky and C. Ratti, Socioeconomic characterization of regions through the lens of individual financial transactions, PLoS ONE 12(11): e0187031 (2017) 
  5. S. Sobolevsky, E. Massaro, I. Bojic, J.M. Arias, C. Ratti. Predicting Regional Economic Indices Using Big Data Of Individual Bank Card Transactions, 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, USA, 2017, pp. 1313-1318 (2017)
  6. M. Claudel, E. Massaro, F. E. Murray and C. Ratti,  An exploration of collaborative scientific production at MIT through spatial organization and institutional affiliation, PLoS ONE 12(6): e0179334, (2017) (in the news: MIT News, Insidehighered, EurakAlert)
  7. E. Massaro, C. Ahn, R. Stahlman, A. Lamprecht, M. Rhoeder, M. Huber, P. Santi, and C. Ratti, The Car As an Ambient Sensing Platform, Proceedings of the IEEE 105(1), pp 3-7, (2017)
  8. E. Massaro, A Study of Ride Sharing Opportunities in the City of Santiago de Chile, INSCI 2017. Lecture Notes in Computer Science,  vol 10673. Springer (2017)
  9. A. A. Ganin, E. Massaro, A. Gutfraind, N. Steen, J. M. Keisler, A. Kott, R. Mangoubi, and I. Linkov. Operational resilience: concepts, design and analysis, Scientific Reports 6, 19540 (2016)
  10. I. Bojic, E. Massaro, A. Belyi , S. Sobolevsky, C. Ratti. Choosing the right home location definition method for the given dataset, proceedings of The 7th International Conference on Social Informatics, to appear in Lecture Notes in Computer Science. (2015)
  11. F. Bagnoli and E. Massaro, Risk Perception and Epidemic Spreading in Multiplex Networks, ISCS 2014: Interdisciplinary Symposium on Complex Systems Emergence, Complexity and Computation (14), 319-332. (2015)
  12. E. Massaro and F. Bagnoli, Epidemic spreading and risk perception in multiplex networks: a self-organized percolation method, Phys. Rev. E 90, 052817, (2014)
  13. G. Gronchi, A. Guazzini, F. Bagnoli and E. Massaro. Mapping cortical functions with a local community detection algorithm, Journal of Complex Networks doi: 10.1093/comnet/cnu035, (2014)
  14. E. Massaro, A. Guazzini, F. Bagnoli and H. Olsson, A cognitive-inspired algorithm for growing networks, Natural Computing, 13(3), pp 379-390 (2014)
  15. E. Massaro and F. Bagnoli. Hierarchical community structure in complex (social) networks, Acta Physica Polonica B, 379, 7(2). 379-393, (2014)
  16. F. Bagnoli, D. Borkmann, A. Guazzini, E. Massaro and S. Rudolph, Modeling Epidemic Risk Perception in Networks with Community Structure, Bio-Inspired Models of Network, Information, and Computing Systems Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Volume 134, pp 283-295 (2014)
  17. G.Martelloni, E. Massaro and F.Bagnoli. A computational toy model for shallow landslides: Molecular Dynamics approach, Communications in Nonlinear Science and Numerical Simulation, 18(9): 2479-2492, (2013)
  18. G. Gronchi, A. Guazzini, F. Bagnoli and E. Massaro. Evaluating cerebral cortex connectivity with local information algorithm. International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 454-461, (2013)
  19. E. Massaro, H. Olsson, A. Guazzini and F. Bagnoli. The impact of local information in growing networks, Electronic Proceedings in Theoretical Computer Science 130, pp. 53–60, (2013)
  20. E. Massaro, L. Valerio, A. Guazzini, A. Passarella and F. Bagnoli. Application of a cognitive-inspired algorithm for detecting communities in mobility networks, IEEE Third International Conference on Cloud and Green Computing (CGC), pp. 541 - 546, 10.1109/CGC.2013.91, (2013)​
  21. E. Massaro, F. Bagnoli, A. Guazzini and P. Liò. Information dynamics algorithm for detecting communities in networks. Communications in Nonlinear Science and Numerical Simulation, 17(11): 4294 – 4303, (2012)
  22. D. Borkmann, A. Guazzini, E. Massaro and S. Rudolph. A cognitive-inspired model for self-organizing networks, IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW), pp. 220-234, (2012)
  23. F. Bagnoli, E. Massaro and A. Guazzini. Community-detection cellular automata with local and long-range connectivity, Lecture Notes in Computer Science, vol. 7495, pp. 204-213. Springer, Heidelberg (2012)
  24. E. Massaro, G. Martelloni and F. Bagnoli, Particle based method for shallow landslides: modeling sliding surface lubrication by rainfall, International Journal of Nonlinear Science, Chaotic Modeling and Simulation (CMSIM) 1: 147-158, 2011, ISSN 2241-0503 (2011)