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Quintino Francesco Lotito

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Quintino Francesco Lotito

 https://orcid.org/0000-0001-7084-8339
    20212026

    Research activity per year

    Personal profile

    Research interests

    Francesco Lotito is a postdoctoral researcher in the Department of Network and Data Science. He earned his Ph.D. in 2025 and his Master’s degree in 2021 from the University of Trento (Italy). His current research focuses on developing measures and computational tools to characterize the structural properties of real-world networks with higher-order interactions. In particular, he is interested in designing efficient algorithms for hypergraph mining problems. He also maintains Hypergraphx, an established open-source library for hypergraph analysis.
     

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    • 9 Article
    • 1 Conference contribution

    • The microscale organization of directed hypergraphs

      Lotito, Q. F., Vendramini, A., Montresor, A. & Battiston, F., Jan 2026, In: Communications Physics. 9, 1, 10 p., 43.

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

      Open Access
      File

    • HIF: The hypergraph interchange format for higher-order networks

      Coll, M., Joslyn, C. A., Landry, N. W., Lotito, Q. F., Myers, A., Pickard, J., Praggastis, B. & Szufel, P., 11 Dec 2025, In: Network Science. 13, e21.

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

      Open Access
      File

    • Hyperlink communities in higher-order networks

      Lotito, Q. F., Musciotto, F., Montresor, A. & Battiston, F., 8 Mar 2024, In: Journal of Complex Networks. 12, 2, cnae013.

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

    • Influence Maximization in Hypergraphs Using Multi-Objective Evolutionary Algorithms

      Genetti, S., Ribaga, E., Cunegatti, E., Lotito, Q. F. & Iacca, G., Sep 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part IV. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.). Springer Cham, p. 217-235 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15151 LNCS).

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

    • Multiplex measures for higher-order networks

      Lotito, Q. F., Montresor, A. & Battiston, F., 3 Sep 2024, In: Applied Network Science. 9, 1, 55.

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

      Open Access
      File
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