Nowadays the analysis of dynamics of and on networks represents a hot topic in the Social Network Analysis playground. To support students, teachers, developers and researchers in this work we introduce a novel framework, namely NDlib, an environment designed to describe diffusion simulations. NDlib is designed to be a multi-level ecosystem that can be fruitfully used by different user segments. For this reason, upon NDlib, we designed a simulation server that allows remote execution of experiments as well as an online visualization tool that abstracts its programmatic interface and makes available the simulation platform to non-technicians.
@article{arxiv.1801.05854,
title = {NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks},
author = {Giulio Rossetti and Letizia Milli and Salvatore Rinzivillo and Alina Sirbu and Fosca Giannotti and Dino Pedreschi},
journal= {arXiv preprint arXiv:1801.05854},
year = {2018}
}