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2018
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Active and passive diffusion processes in complex networks, Applied network science, vol. 3, p. 42, 2018.
G. Rossetti and Cazabet, R., Community Discovery in Dynamic Networks: a Survey, Journal ACM Computing Surveys, vol. 51, 2018.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Diffusive Phenomena in Dynamic Networks: a data-driven study, in International Conference on Complex Networks CompleNet, Boston March 5-8 2018, 2018.
L. Gabrielli, Fadda, D., Rossetti, G., Nanni, M., Piccinini, L., Pedreschi, D., Giannotti, F., and Lattarulo, P., Discovering Mobility Functional Areas: A Mobility Data Analysis Approach, in International Workshop on Complex Networks, 2018.
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, 2018.
G. Amato, Candela, L., Castelli, D., Esuli, A., Falchi, F., Gennaro, C., Giannotti, F., Monreale, A., Nanni, M., Pagano, P., Pappalardo, L., Pedreschi, D., Pratesi, F., Rabitti, F., Rinzivillo, S., Rossetti, G., Ruggieri, S., Sebastiani, F., and Tesconi, M., How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science, in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, S. Flesca, Greco, S., Masciari, E., and Saccà, D., Eds. Cham: Springer International Publishing, 2018, pp. 287 - 306.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., The italian music superdiversity, Multimedia Tools and Applications, pp. 1–23, 2018.
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, vol. 5, pp. 61–79, 2018.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences, IEEE Transactions on Knowledge and Data Engineering, 2018.
2019
G. Rossetti, Milli, L., and Cazabet, R., CDLIB: a python library to extract, compare and evaluate communities from complex networks, Applied Network Science, vol. 4, p. 52, 2019.
R. Cazabet and Rossetti, G., Challenges in community discovery on temporal networks, in Temporal Network Theory, Springer, 2019, pp. 181–197.
L. Milli and Rossetti, G., Community-Aware Content Diffusion: Embeddednes and Permeability, in International Conference on Complex Networks and Their Applications, 2019.
S. Citraro and Rossetti, G., A complex network approach to semantic spaces: How meaning organizes itself, in SEBD, 2019.
R. Portocarre Sarmento, Lemos, L., Cordeiro, M., Rossetti, G., and Cardoso, D., DynComm R Package–Dynamic Community Detection for Evolving Networks, arXiv preprint arXiv:1905.01498, 2019.
S. Citraro and Rossetti, G., Eva: Attribute-Aware Network Segmentation, in International Conference on Complex Networks and Their Applications, 2019.
G. Rossetti, Exorcising the Demon: Angel, Efficient Node-Centric Community Discovery, in International Conference on Complex Networks and Their Applications, 2019.
R. Guidotti and Rossetti, G., “Know Thyself” How Personal Music Tastes Shape the Last. Fm Online Social Network, in International Symposium on Formal Methods, 2019.
B. Guidi, Michienzi, A., and Rossetti, G., Towards the dynamic community discovery in decentralized online social networks, Journal of Grid Computing, vol. 17, pp. 23–44, 2019.

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