LINCOLN

Learning Complex Networks

 

 

SELECTED PUBLICATIONS


 
             INFN Section Padova

1.     C. Tu, S. Suweis, J. Grilli, M. Formentin, A. Maritan, Reconciling cooperation, biodiversity and stability in complex ecological communities. Scientific Reports, 9, 1-10 (2019)

2.     A. Testolin, M. Piccolini, S. Suweis, Deep learning systems as complex networksJournal of Complex Networks, 8, cnz018 (2020)

3.     M. Baiesi, E. Orlandini, F. Seno, A. Trovato, Sequence and structural patterns detected in entangled proteins reveal the importance of co-translational folding, Scientific Reports, 9 8426, 1-12 (2019)

4.     D. Michieletto, D. Colí, D. Marenduzzo, E. Orlandini, Non equilibrium theory of epigenomic macrophase separation in the cell nucleus, Phy. Rev. Lett. 123, 228101 (2019)

5.     D. Michieletto, E. Orlandini, D. Marenduzzo, Polymer model with epigenetic recoloring reveals a pathway for de novo establishment and 3D organization of chromatin domains, Phys. Rev. X 6, 041047 (2016)

 

INFN Section Firenze

1.     T. Carletti, F. Battiston, G. Cencetti, D Fanelli, Random walks on hypergraphs, Physical Review E 101, 022308 (2020)

2.     G. Cencetti, F. Battiston, T. Carletti, D. Fanelli , Generalized patterns from local and non local reactions, Chaos, Solitons & Fractals 134, 109707, (2020)

3.     S. Nicoletti, D. Fanelli, N. Zagli, M. Asllani, G. Battistelli, T. Carletti, L. Chisci Resilience for stochastic systems interacting via a quasi-degenerate network, Chaos: An Interdisciplinary Journal of Nonlinear Science 29, 083123 (2020)

4.     Adam, D. Fanelli, T. Carletti, G. Innocenti, Reactive explorers to unravel network topology, The European Physical Journal B 92, 99 (2019)

5.     G. Cencetti, F. Bagnoli, G. Battistelli, L. Chisci, D. Fanelli, Spectral control for ecological stability,  The European Physical Journal B 91, 264 (2018)

 

INFN Section Bologna 

1.     R. Gallotti, A. Bazzani, S. Rambaldi, M.  Barthelemy, A stochastic model of randomly accelerated walkers for human mobility, Nature Communications 7, 12600 (2016)

2.     M. Bersanelli, E. Mosca, L.  Milanesi, A. Bazzani ,G. Castellani, Frailness and resilience of gene networks predicted by detection of co-occurring mutations via a stochastic perturbative approach, Scientific Reports 10, 2643 (2020)

3.     C. Mizzi, A. Fabbri, S. Rambaldi, F. Bertini, N. Curti, S. Sinigardi, R. Luzi, G. Venturi, M. Davide, G. Muratore, A. Vannelli, A. Bazzani, Unraveling pedestrian mobility on a road network using ICTs data during great tourist events, EPJ Data Sci. 7: 44 (2018)

4.     E. Andreotti, D. Remondini, G. Servizi, A. Bazzani, On the multiplicity of Laplacian eigenvalues and Fiedler partitions' Linear Algebra and its Applications, 544, 206-222 (2018)

5.     P. Freguglia, E. Andreotti, A. Bazzani, Modelling Ecological Systems from a Niche Theory to Lotka-Volterra Equations, Current Trends in Dynamical Systems in Biology and Natural Sciences. SEMA SIMAI Springer Series, 21. Springer (2020)

 

       INFN Section Rende-Cosenza

1.     G. Mascali, V. Romano, A Hierarchy of Macroscopic Models for Phonon Transport in Graphene, Physica A, (2020)

2.     R. Beneduci, F.E. Schroeck, Space Localization of the Photon, Foundations of Physics, 49 561-576 (2019)

3.     R. Beneduci, Universal randomization of Quantum Observables, Int. J. Theor. Phys., DOI: 10.1007/s10773-019-04090-y, (2019)

4.     R. Beneduci, Commutative POV-Measures: from the Choquet Representation to the Markov Kernel and Back, Russian Journal of Mathematical Physics, 25 158-182 (2018)

5.     R. Beneduci, Joint Measurability Through Naimark’s Dilation Theorem, Reports on Mathematical Physics, 79 197-214 (2017)

6.     G. Mascali, V. Romano, Charge Transport in graphene including thermal effects, SIAM Journal on Applied Mathematics, 77, 593-613 (2017)

·       INFN Section Catania

1.    I. Iacopini, S. Milojević and V. Latora Network Dynamics of Innovation Processes Phys. Rev. Lett. 120, 048301 (2018)

2.    S. Manfredi, E. Di Tucci, and V. Latora, Mobility and Congestion in Dynamical Multilayer Networks with Finite Storage Capacity. Phys. Rev. Lett. 120, 068301 (2018)

3.    A. Pluchino, A.E. Biondo, A. Rapisarda, Talent vs Luck: the role of randomness in success and failure, Advances in Complex Systems, 21 No. 03n04 (2018)

4.    V.Nicosia, P.S.Skardal, A.Arenas, and V.Latora, Collective Phenomena Emerging from the Interactions between Dynamical Processes in Multiplex Networks, Phys. Rev. Lett. 118, 138302 (2017)

5.    A.E. Biondo, A.Pluchino, A.Rapisarda, Order Book, Financial Markets and Self-Organized Criticality, Chaos, Solitons and Fractals 88, 196-208, (2016). 

·       INFN Section Perugia-Camerino

1.        R. Mengoni, A. Di Pierro, L. Memarzadeh and S. Mancini, Persistent homology analysis of multi-qubit entanglement, Quantum Information and Computation 20, 0375 (2020)

2.        D. Felice, S. Mancini and N. Ay, Canonical divergence for measuring classical and quantum complexity, Entropy 21, 435 (2019)

3.     R. Radgohar, L. Memarzadeh, and S. Mancini, Quantum information transmission through a qubit chain with quasi-local dissipation, Quantum Information and Computation 18, 0231 (2018)

4.     D. Felice, C. Cafaro, and S. Mancini, Information geometric methods for complexity, Chaos 28, 032101 (2018)

5.       R. Franzosi, D. Felice, S. Mancini and M. Pettini ,Riemannian geometric entropy for measuring networks complexity, Physical Review E 93, 062317 (2016)

 
 
 
 
 

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April, 20-21 2022

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