About Me

I am a Researcher at the National Research Council of Italy.
My main research interests are in machine learning for complex networks, with a focus on Dynamics On & Of Networks, Social Network Analysis and Science of Success.

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I am a member of the Knowledge Discovery and Data Mining Laboratory (KDD-lab in short) a joint research team that connects the Computer Science Dept. of the University of Pisa and the ISTI-CNR (Italian National Research Council)

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Here, you can find links to my papers, talks and software. Moreover, if you want to be updated on my activities just add me on Research Gate, Linkedin and/or give a look to my Google Scholar page.


2020 Publications Updates

  • Rossetti, Giulio: ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks. In: Applied Network Science, 5 (1), pp. 1–23, 2020.
  • Morini, Virginia; Pollacci, Laura; Rossetti, Giulio: Capturing Political Polarization of Reddit Submissions in the Trump Era. In: on Systems, Italian Symposium Advanced Database (Ed.): 2020.
  • Cazabet, Remy; Boudebza, Souaad; Rossetti, Giulio: Evaluating Community Detection Algorithms for Progressively Evolving Graphs. In: arXiv preprint arXiv:2007.08635, 2020.
  • Bonato, Pietro; Cintia, Paolo; Fabbri, Francesco; Fadda, Daniele; Giannotti, Fosca; Lopalco, Pier Luigi; Mazzilli, Sara; Nanni, Mirco; Pappalardo, Luca; Pedreschi, Dino; Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown. In: arXiv preprint arXiv:2004.11278, 2020.
  • Cintia, Paolo; Fadda, Daniele; Giannotti, Fosca; Pappalardo, Luca; Rossetti, Giulio; Pedreschi, Dino; Rinzivillo, Salvo; Bonato, Pietro; Fabbri, Francesco; Penone, Francesco; The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. In: arXiv preprint arXiv:2006.03141, 2020.
  • Cornacchia, Giuliano; Rossetti, Giulio; Pappalardo, Luca: Modelling Human Mobility considering Spatial, Temporal and Social Dimensions. In: arXiv preprint arXiv:2007.02371, 2020.

Continuos Network Science Software Projects