TY - CONF T1 - NDlib: Studying Network Diffusion Dynamics T2 - IEEE International Conference on Data Science and Advanced Analytics, DSA Y1 - 2017 A1 - Giulio Rossetti A1 - Letizia Milli A1 - S Rinzivillo A1 - Alina Sirbu A1 - Dino Pedreschi A1 - Fosca Giannotti AB - 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. JF - IEEE International Conference on Data Science and Advanced Analytics, DSA CY - Tokyo UR - https://ieeexplore.ieee.org/abstract/document/8259774 ER -