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2017
G. Rossetti, Milli, L., Giannotti, F., and Pedreschi, D., “Forecasting success via early adoptions analysis: A data-driven study”, PloS one, vol. 12, p. e0189096, 2017.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
L. Candela, Manghi, P., Giannotti, F., Grossi, V., and Trasarti, R., “HyWare: a HYbrid Workflow lAnguage for Research E-infrastructures”, D-Lib Magazine, vol. 23, 2017.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., “Information diffusion in complex networks: The active/passive conundrum”, in International Workshop on Complex Networks and their Applications, 2017.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., “Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences”, in 2017 IEEE International Conference on Data Mining (ICDM), 2017.
M. Nanni, Trasarti, R., and Giannotti, F., “Movement Behaviour Recognition for Water Activities”, in Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, {PAP} 2017, Held in Conjunction with {ECML} {PKDD} 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers, 2017.
R. Trasarti, Guidotti, R., Monreale, A., and Giannotti, F., “MyWay: Location prediction via mobility profiling”, Information Systems, vol. 64, pp. 350–367, 2017.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: a python library to model and analyze diffusion processes over complex networks”, International Journal of Data Science and Analytics, pp. 1–19, 2017.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: Studying Network Diffusion Dynamics”, in IEEE International Conference on Data Science and Advanced Analytics, DSA, Tokyo, 2017.
R. Guidotti, Nanni, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Never drive alone: Boosting carpooling with network analysis”, Information Systems, vol. 64, pp. 237–257, 2017.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., “Next Basket Prediction using Recurring Sequential Patterns”, arXiv preprint arXiv:1702.07158, 2017.
G. Rossetti, Pedreschi, D., and Giannotti, F., “Node-centric Community Discovery: From static to dynamic social network analysis”, Online Social Networks and Media, vol. 3, pp. 32–48, 2017.
F. Pratesi, Monreale, A., Giannotti, F., and Pedreschi, D., “Privacy Preserving Multidimensional Profiling”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
L. Pollacci, Sirbu, A., Giannotti, F., Pedreschi, D., Lucchese, C., and Muntean, C. Ioana, “Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter”, in Conference of the Italian Association for Artificial Intelligence, 2017.
R. Guidotti, Trasarti, R., Nanni, M., Giannotti, F., and Pedreschi, D., “There's A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas”, in 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, 2017.
G. Rossetti, Pappalardo, L., Pedreschi, D., and Giannotti, F., “Tiles: an online algorithm for community discovery in dynamic social networks”, Machine Learning, vol. 106, pp. 1213–1241, 2017.
2016
L. Pappalardo, Vanhoof, M., Gabrielli, L., Smoreda, Z., Pedreschi, D., and Giannotti, F., “An analytical framework to nowcast well-being using mobile phone data”, International Journal of Data Science and Analytics, vol. 2, pp. 75–92, 2016.
S. Bergamaschi, Carlini, E., Ceci, M., Furletti, B., Giannotti, F., Malerba, D., Mezzanzanica, M., Monreale, A., Pasi, G., Pedreschi, D., Perego, R., and Ruggieri, S., “Big Data Research in Italy: A Perspective”, Engineering, vol. 2, p. 163, 2016.
G. Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., “Homophilic network decomposition: a community-centric analysis of online social services”, Social Network Analysis and Mining, vol. 6, p. 103, 2016.
G. Rossetti, Guidotti, R., Miliou, I., Pedreschi, D., and Giannotti, F., “A supervised approach for intra-/inter-community interaction prediction in dynamic social networks”, Social Network Analysis and Mining, vol. 6, p. 86, 2016.
F. Giannotti, Gabrielli, L., Pedreschi, D., and Rinzivillo, S., “Understanding human mobility with big data”, in Solving Large Scale Learning Tasks. Challenges and Algorithms, Springer International Publishing, 2016, pp. 208–220.
R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Unveiling mobility complexity through complex network analysis”, Social Network Analysis and Mining, vol. 6, p. 59, 2016.
2015
L. Gabrielli, Furletti, B., Trasarti, R., Giannotti, F., and Pedreschi, D., “City users’ classification with mobile phone data”, in IEEE Big Data, Santa Clara (CA) - USA, 2015.
G. Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., “Community-centric analysis of user engagement in Skype social network”, in International conference on Advances in Social Network Analysis and Mining, Paris, France, 2015.
S. Hajian, Domingo-Ferrer, J., Monreale, A., Pedreschi, D., and Giannotti, F., “Discrimination- and privacy-aware patterns”, Data Min. Knowl. Discov., vol. 29, pp. 1733–1782, 2015.

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