NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks

Autor: Rossetti, Giulio, Milli, Letizia, Rinzivillo, Salvatore, Sirbu, Alina, Giannotti, Fosca, Pedreschi, Dino
Rok vydání: 2017
Předmět:
Zdroj: International Journal of Data Science and Analytics, 2018
Druh dokumentu: Working Paper
DOI: 10.1007/s41060-017-0086-6
Popis: 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.
Databáze: arXiv