CDLIB: a python library to extract, compare and evaluate communities from complex networks G Rossetti, L Milli, R Cazabet Applied Network Science 4 (1), 1-26, 2019 | 84 | 2019 |

NDlib: a python library to model and analyze diffusion processes over complex networks G Rossetti, L Milli, S Rinzivillo Companion Proceedings of the The Web Conference 2018, 183-186, 2018 | 78 | 2018 |

Quantification Trees L Milli, A Monreale, G Rossetti, F Giannotti, D Pedreschi, F Sebastiani International Conference on Data Mining (ICDM), 2013 IEEE 13th, 528-536, 2013 | 72 | 2013 |

Quantification in social networks L Milli, A Monreale, G Rossetti, D Pedreschi, F Giannotti, F Sebastiani 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 30 | 2015 |

Use of mobile phone data to estimate mobility flows. measuring urban population and inter-city mobility using big data in an integrated approach B Furletti, L Gabrielli, F Giannotti, L Milli, M Nanni, D Pedreschi, R Vivio, ... Proceedings of the 47th Meeting of the Italian Statistical Society, 2014 | 29 | 2014 |

Conformity: a Path-Aware Homophily measure for Node-Attributed Networks G Rossetti, S Citraro, L Milli IEEE Intelligent Systems, 2021 | 16 | 2021 |

Ndlib: Studying network diffusion dynamics G Rossetti, L Milli, S Rinzivillo, A Sirbu, D Pedreschi, F Giannotti 2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017 | 16 | 2017 |

Information diffusion in complex networks: The active/passive conundrum L Milli, G Rossetti, D Pedreschi, F Giannotti Complex Networks & Their Applications VI: Proceedings of Complex Networks …, 2018 | 12 | 2018 |

Forecasting success via early adoptions analysis: A data-driven study G Rossetti, L Milli, F Giannotti, D Pedreschi PloS one 12 (12), e0189096, 2017 | 11 | 2017 |

Active and passive diffusion processes in complex networks L Milli, G Rossetti, D Pedreschi, F Giannotti Applied network science 3, 1-15, 2018 | 9 | 2018 |

In Proceedings of the 2nd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015) L Milli, A Monreale, G Rossetti, D Pedreschi, F Giannotti, F Sebastiani FR, 2015 | 7 | 2015 |

Modeling algorithmic bias: simplicial complexes and evolving network topologies V Pansanella, G Rossetti, L Milli Applied Network Science 7 (1), 57, 2022 | 6 | 2022 |

Opinion dynamic modeling of news perception L Milli Applied Network Science 6 (1), 1-19, 2021 | 5 | 2021 |

Diffusive phenomena in dynamic networks: a data-driven study L Milli, G Rossetti, D Pedreschi, F Giannotti Complex Networks IX: Proceedings of the 9th Conference on Complex Networks …, 2018 | 5 | 2018 |

Use of mobile phone data to estimate mobility flows B Furletti, L Gabrielli, F Giannotti, L Milli, M Nanni, D Pedreschi, R Vivio, ... Measuring urban population and inter-city mobility using big data in an …, 2014 | 5 | 2014 |

-Conformity: multi-scale node assortativity in feature-rich stream graphs S Citraro, L Milli, R Cazabet, G Rossetti International Journal of Data Science and Analytics, 1-12, 2022 | 4 | 2022 |

From mean-field to complex topologies: network effects on the algorithmic bias model V Pansanella, G Rossetti, L Milli Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022 | 4 | 2022 |

Academic mobility from a big data perspective L Pollacci, L Milli, T Bircan, G Rossetti International Journal of Data Science and Analytics, 1-14, 2023 | 2 | 2023 |

UTLDR: an agent-based framework for modeling infectious diseases and public interventions G Rossetti, L Milli, S Citraro, V Morini Journal of Intelligent Information Systems 57 (2), 347-368, 2021 | 1 | 2021 |

Opinion dynamic modeling of fake news perception C Toccaceli, L Milli, G Rossetti Complex Networks & Their Applications IX: Volume 1, Proceedings of the Ninth …, 2021 | 1 | 2021 |