Papers

• Mancastroppa M., Cencetti G., Barrat A.,
  “Emerging Activity Temporal Hypergraph (EATH), a model for generating realistic time-varying hypergraphs”,
  arXiv:2507.01124 (2025)

• Agostinelli C., Mancastroppa M., Barrat A.,
  “Higher-order dissimilarity measures for hypergraph comparison”,
  arXiv:2503.16959 (2025)

• Mancastroppa M., Vezzani A., Colizza V., Burioni R.,
  “Preserving system activity while controlling epidemic spreading in adaptive temporal networks”,
  Physical Review Research 6, 033159 (2024) [arXiv:2402.09076]

• Mancastroppa M., Iacopini I., Petri G., Barrat A.,
  “The structural evolution of temporal hypergraphs through the lens of hyper-cores”,
  EPJ Data Science 13, 50 (2024) [arXiv:2402.06485]

• Cencetti G., Contreras D.A., Mancastroppa M., Barrat A.,
  “Distinguishing simple and complex contagion processes on networks”,
  Physical Review Letters 130, 247401 (2023) [arXiv:2301.09407]

• Mancastroppa M., Iacopini I., Petri G., Barrat A.,
  “Hyper-cores promote localization and efficient seeding in higher-order processes”,
  Nature Communications 14, 6223 (2023) [arXiv:2301.04235]

• Mancastroppa M., Guizzo A., Castellano C., Vezzani A., Burioni R.,
  “Sideward contact tracing and the control of epidemics in large gatherings”,
  J. R. Soc. Interface 19, 20220048 (2022) [arXiv:2110.04742]

• Mancastroppa M., Castellano C., Vezzani A., Burioni R.,
  “Stochastic sampling effects favor manual over digital contact tracing”,
  Nature Communications 12, 1919 (2021) [arXiv:2010.03399]

• Mancastroppa M., Burioni R., Colizza V., Vezzani A.,
  “Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks”,
  Physical Review E 102, 020301(R) (2020) [arXiv:2004.07902]

• Pinotti F., Di Domenico L, Ortega E., Mancastroppa M., Pullano G., Valdano E., Boelle P.Y., Poletto C., Colizza V.,
  “Tracing and analysis of 288 early SARS-CoV-2 infections outside China: a modeling study”,
  PLOS Medicine 17(7): e1003193 (2020) [medRXiv:2020.02.24.20027326]

• Mancastroppa M., Vezzani A., Munoz M.A. e Burioni R.,
  “Burstiness in activity-driven networks and the epidemic threshold”,
  Journal of Statistical Mechanics: Theory and Experiment 053502 (2019) [arXiv:1903.11308]

Online talks

Stochastic sampling effects in the control of epidemic spreading on adaptive temporal networks
Award ceremony for the 2022 Giovanni Paladin Prize

Stochastic sampling effects and heterogeneity in contact tracing for epidemic control
I Conference of the Italian Society of Statistical Physics SIFS (2021)

Stochastic sampling effects and heterogeneities in control of epidemic processes
Cortona Young 2021, Galileo Galilei Institute (GGI) (2021)

Thesis

• Mancastroppa M., “Epidemic processes on adaptive temporal networks”,
  PhD thesis in Physics at University of Parma, Parma, Italy (2022),
  [Supervisors: Dr. Alessandro Vezzani, Prof. Raffaella Burioni]

• Mancastroppa M., “Epidemic processes on bursty temporal networks”,
  Master thesis in Physics at University of Parma, Parma, Italy (2018),
  [Supervisors: Dr. Alessandro Vezzani, Prof. Raffaella Burioni]

• Mancastroppa M., “Deterministic chaos in Lorenz-like systems with stable equilibrium points”,
  Bachelor thesis in Physics at University of Parma, Parma, Italy (2016),
  [Supervisors: Prof. Mario Casartelli, Prof. Maria Groppi]

Dissemination

• Burioni R., Castellano C., Mancastroppa M., Vezzani A., “Il tracciamento manuale può essere più efficace di quello digitale”, Scienza in Rete (2021)