Publications

The following list includes published papers, deliverables and other contents linked with my research.

Google Scholar

2024

  • Laura Pollacci and Alina Sirbu (2024) “The Superdiversity Index”.
  • Laura Pollacci (2024) “The Enhanced Microsoft Academic Knowledge Graph”.
  • Diletta Goglia, Laura Pollacci, and Alina Sirbu (2024) “Multi-aspect Integrated Migration Indicators”.
  • Alina Sirbu, Diletta Goglia, Jisu Kim, Paul Maximilian Magos, Laura Pollacci, Spyridon Spyratos, Giulio Rossetti, and Stefano Maria Iacus (2024) “International mobility between the UK and Europe around Brexit: a data-driven study”. Journal of Computational Social Science.
  • Alina Sirbu, Diletta Goglia, Jisu Kim, Paul Maximilian Magos, Laura Pollacci, Spyridon Spyratos, Giulio Rossetti, and Stefano Maria Iacus (2024) “International Mobility between the UK and Europe around Brexit”.
  • Eleonora Cappuccio, Benedetta Muscato, Laura Pollacci, Marta Marchiori Manerba, Clara Punzi, Chandana Mala, Margherita Lalli, Gizem Gezici, Michela Natilli, and Fosca Giannotti (2024) “Beyond Headlines: A Corpus of Femicides News Coverage in Italian Newspapers”. Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024).
  • Laura Pollacci, Alina Sirbu, and Stefano Maria Iacus (2024) “Air Traffic Data International Mobility Indicators for the UK”.

2023

  • Diletta Goglia, Laura Pollacci, and Alina Sirbu (2023) “Dataset of multi-aspect integrated migration indicators”. Data.
  • Laura Pollacci, Letizia Milli, Tuba Bircan, and Giulio Rossetti (2023) “Academic mobility from a big data perspective”. International Journal of Data Science and Analytics.
  • Donia Kamel and Laura Pollacci (2023) “10377 2023-Academic Migration and Academic Networks: Evidence from Scholarly Big”.

2022

  • Diletta Goglia, Laura Pollacci, and Alina Sirbu (2022) “Use of non-traditional data sources to nowcast migration trends through Artificial Intelligence technologies”. Measuring Migration Conference 2022 Conference Proceedings.
  • Jisu Kim, Laura Pollacci, Giulio Rossetti, Alina Sirbu, Fosca Giannotti, Dino Pedreschi, and others (2022) “Twitter data for migration studies”. Data science for migration and mobility.
  • Laura Pollacci, Alina Sirbu, Fosca Giannotti, and Dino Pedreschi (2022) “Measuring the salad bowl: Superdiversity on twitter”. arXiv preprint arXiv:2204.10646.
  • Laura Pollacci (2022) “Emakg: An enhanced version of the microsoft academic knowledge graph”. arXiv preprint arXiv:2203.09159.

2021

  • Virginia Morini, Laura Pollacci, and Giulio Rossetti (2021) “Toward a standard approach for echo chamber detection: Reddit case study”. Applied Sciences.
  • Alina Sirbu, Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, and others (2021) “Human migration: The big data perspective”. International Journal of Data Science and Analytics.
  • L Pollacci, Alina Sirbu, and Giulio Rossetti (2021) “Estimating highly skilled migration in Europe Part 1: scientific migration (Deliverable 5.2)”.
  • Alina Sirbu, Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, and others (2021) “Correction to: Human migration: the big data perspective”. International Journal of Data Science and Analytics.

2020

  • Virginia Morini, Laura Pollacci, and Giulio Rossetti (2020) “Capturing Political Polarization of Reddit Submissions in the Trump Era.”. SEBD.

2019

  • Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, and Dino Pedreschi (2019) “The italian music superdiversity: Geography, emotion and language: one resource to find them, one resource to rule them all”. Multimedia Tools and Applications.
  • Laura Pollacci (2019) “Superdiversity:(Big) Data analytics at the crossroads of geography, language and emotions”.

2017

  • Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, and Dino Pedreschi (2017) “The fractal dimension of music: Geography, popularity and sentiment analysis”. International conference on smart objects and technologies for social good.
  • Laura Pollacci, Alina Sirbu, Fosca Giannotti, Dino Pedreschi, Claudio Lucchese, and Cristina Ioana Muntean (2017) “Sentiment spreading: an epidemic model for lexicon-based sentiment analysis on twitter”. Conference of the Italian Association for Artificial Intelligence.
  • Floriana Esposito, Roberto Basili, Stefano Ferilli, and Francesca A Lisi (2017) “AI* IA 2017 Advances in Artificial Intelligence: XVIth International Conference of the Italian Association for Artificial Intelligence, Bari, Italy, November 14-17, 2017, Proceedings”.

2016

  • Laura Pollacci, Riccardo Guidotti, and Giulio Rossetti (2016) “Are we playing like music-stars?”. MML 2016 9th International Workshop on Machine Learning and Music.

2015

  • John Adebayo Kolawole, Johannes Andresen, Marco Angster, Mihael Arcan, Giuseppe Attardi, A Barbagli, Marilena Di Bari, Roberto Bartolini, Pierpaolo Basile, Valerio Basile, and others (2015) “Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015: 3-4 December 2015, Trento”.
  • LAURA POLLACCI (2015) “ItEm: spazi semantici vettoriali per l'espansione semi-automatica di un lessico emotivo”.
  • Lucia Passaro, Laura Pollacci, Alessandro Lenci, and others (2015) “Item: A vector space model to bootstrap an italian emotive lexicon”. Proceedings of the second Italian Conference on Computational Linguistics CLiC-it 2015.

2014

  • Lucia Passaro, Gianluca Lebani, Laura Pollacci, Emmanuele Chersoni, Alessandro Lenci, and others (2014) “The coling lab system for sentiment polarity classification of tweets”. Proceedings of the Fourth International Workshop EVALITA 2014.
  • Cristina Bosco, Piero Cosi, Felice Dell'Orletta, Mauro Falcone, Simonetta Montemagni, and Maria Simi (2014) “Proceedings of the Fourth International Workshop EVALITA 2014”.

n.d.

  • Laura Pollacci and Dino Pedreschi “New superdiversity: at a crossroads of geography, language and emotions.”.
  • Laura Pollacci, Alina Sirbu, and Giulio Rossetti “ESTIMATING HIGHLY SKILLED MIGRATION IN EUROPE PART 1: SCIENTIFIC MIGRATION”.
  • Laura Pollacci, Giulio Rossetti, and Alina Sirbu “ANALYSIS OF MIGRATION PATTERNS USING INDICATORS EXTRACTED FROM AIR PASSENGER DATA”.
  • Francesca Pratesi, Laura Pollacci, Hillel Rapoport, and Giulio Rossetti “Alina Sirbu Fosca Giannotti, Diletta Goglia, Jisu Kim, Dino Pedreschi”.