Title | NDlib: a python library to model and analyze diffusion processes over complex networks |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Rossetti, G, Milli, L, Rinzivillo, S, Sirbu, A, Pedreschi, D, Giannotti, F |
Journal | International Journal of Data Science and Analytics |
Volume | 5 |
Issue | 1 |
Pagination | 61–79 |
Abstract | 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. |
URL | https://link.springer.com/article/10.1007/s41060-017-0086-6 |
DOI | 10.1007/s41060-017-0086-6 |