@conference {1022, title = {NDlib: Studying Network Diffusion Dynamics}, booktitle = {IEEE International Conference on Data Science and Advanced Analytics, DSA}, year = {2017}, address = {Tokyo}, abstract = {Nowadays the analysis of diffusive phenomena occurring on top of complex networks represents a hot topic in the Social Network Analysis playground. In order to support students, teachers, developers and researchers in this work we introduce a novel simulation framework, ND LIB . ND LIB is designed to be a multi-level ecosystem that can be fruitfully used by different user segments. Upon the diffusion library, we designed a simulation server that allows remote execution of experiments and an online visualization tool that abstract the programmatic interface and makes available the simulation platform to non-technicians.}, doi = {https://doi.org/10.1109/DSAA.2017.6}, url = {https://ieeexplore.ieee.org/abstract/document/8259774}, author = {Giulio Rossetti and Letizia Milli and S Rinzivillo and Alina Sirbu and Dino Pedreschi and Fosca Giannotti} }