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NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks

Abstract
Publication Date:
2018
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 we introduced a novel framework, named 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. 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.
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
diffusion models' library; simulation platform; spreading phenomena simulation
List of contributors:
Milli, Letizia; Rinzivillo, Salvatore; Rossetti, Giulio
Authors of the University:
RINZIVILLO SALVATORE
ROSSETTI GIULIO
Handle:
https://iris.cnr.it/handle/20.500.14243/389294
Book title:
WWW '18: Companion Proceedings of the The Web Conference 2018
  • Overview

Overview

URL

https://dl.acm.org/doi/10.1145/3184558.3186974
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