Skip to main navigation Skip to search Skip to main content

Lorenzo Betti

Former affiliation
    20212026

    Research activity per year

    Personal profile

    Research interests

    He obtained a bachelor’s degree in Physics and Astrophysics from University of Florence and a master’s degree in Physics of Complex Systems from University of Turin, where he developed a strong interest in Network Science and Machine Learning. He then spent three years at ISI Foundation as a junior researcher, working on projects in Computational Social Science and Natural Language Processing.

    Currently, he is interested in studying the emergence of collective behavior from local interactions between agents and investigating how the structure of interaction networks affects the dynamics of complex systems.

    Fingerprint

    Dive into the research topics where Lorenzo Betti is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 1 Similar Profiles
    • Hypergraphx-data: a repository for higher-order network data

      Lotito, Q. F., Betti, L., Nortier, B., Montresor, A. & Battiston, F., Jun 2026, In: Journal of Complex Networks. 14, 3, 9 p., cnag014.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      File
    • Identifying maximal sets of significantly interacting nodes in higher-order networks

      Betti, L., Musciotto, F., Battiston, F. & Mantegna, R. N., 26 Aug 2026, In: Physical Review E. 114, 2, p. 1-9 9 p., 024313.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      File
    • Moral judgments in online discourse are not biased by gender

      Betti, L., Bajardi, P. & De Francisci Morales, G., Dec 2025, In: Scientific Reports. 15, 1, p. 1-11 21555.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      File
    • Web Science 2024: Conference Chairs' Welcome Message

      Staab, S., Aiello, L. M., Mejova, Y., Seneviratne, O., Sindermann, C., Hagendorff, T., Brandes, S., Rohlmann, J., Spaniol, M., Kinder-Kurlanda, K., Faleńska, A., Heiberger, R., Sun, J., Kaiser, S., De Choudhury, M., Weber, M., De Francisci Morales, G., Dunn, A., Gadiraju, U. & Gaito, S. & 121 others, Hooper, S., Javarone, M. A., Kalimeri, K., Kwak, H., Maity, S. K., Mashhadi, A., Mustafaraj, E., Purohit, H., Rossetti, G., Sastry, N., Srinivasa, S., Vaz-De-Melo, P., Weal, M., Weber, I., Weninger, T., Withing, M., Zubiaga, A., Ahlers, D., Tamime, R. A., Alam, S., Alhoori, H., Andriotis, P., Bär, D., Bernstein, M., Boratto, L., Camargo, C., Capozzi, A., Chelmis, C., Vieira, C. C., De Meo, P., Dinh, L., Dividino, R., Doerfel, S., Farahbakhsh, R., Ferreira, C. H. G., Flores-Saviaga, C., Florio, K., Galdeman, A., Guo, C., Hakimov, S., Rad, R. H., Helic, D., Hohmann, M., Horawalavithana, S., Horne, B., Ibanez-Gonzalez, L., Jiang, J., Jones, S., Kamdar, M. R., Kao, H. T., Kassa, Y. M., Kastrin, A., Kazama, K., Kelly, M., Khanday, A., Khatua, A., Khudabukhsh, A., Krüger, F., Kumari, N., Lai, M., Lamba, H., Lee, R. K. W., Lee, E., Liao, Y., Lin, W., Magelinski, T., Magnani, M., Hill, B. M., Manikonda, L., Masud, S., Mekouar, S., Møller, A. G., Muthiah, S., Ni, C., Nishimura, J., Nwala, A., Pera, A., Piao, G., Piccardi, T., Pierri, F., Porcaro, L., Ramasco, J. J., Reelfs, J., Rezapour, R., Salminen, J., Šćepanović, S., Shahi, G. K., Sinha, P., Smaragdakis, G., Smirnova, I., Song, M. Y. J., Sosnovik, V., Truong, B. T., Tsugawa, S., Vasarhelyi, O., D'Aurelio, D. V., Vekaria, Y., Vilella, S., Viviani, M., Wang, Y., Wu, S., Yang, K., Zeng, Y., Zhang, Q., Zhang, L., Araújo, M., Betti, L., Blackburn, J., Chari, S., Corso, F., Erickson, J., Espin, L., Fiandrino, S., Ruberti, A., Kang, I., Keshan, N., Cava, L. L., Lenti, J., Mridul, M. A., Rashid, S. & Tizzani, M., 21 May 2024, WEBSCI '24: Proceedings of the 16th ACM Web Science Conference. Aiello, L. M., Mejova, Y., Seneviratne, O., Sun, J., Kaiser, S. & Staab, S. (eds.). Association for Computing Machinery, p. iii-x 8 p.

      Research output: Contribution to Book/Report types › Conference contribution › peer-review

    • Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network

      Terranova, F., Betti, L., Ferrario, V., Friard, O., Ludynia, K., Petersen, G. S., Mathevon, N., Reby, D. & Favaro, L., 1 Nov 2024, In: Science of the Total Environment. 949, 12 p., 174868.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      File