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International Journal of Data Science and Analytics
Erschienen in: International Journal of Data Science and Analytics 1/2018

20.12.2017 | Applications

NDlib: a python library to model and analyze diffusion processes over complex networks

verfasst von: Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Dino Pedreschi, Fosca Giannotti

Erschienen in: International Journal of Data Science and Analytics | Ausgabe 1/2018

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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.
Vorheriger Artikel Using semantic graphs to detect overlapping target events and story lines from newspaper articles

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Fußnoten
16
Available, currently as a separate branch, at: https://​goo.​gl/​tYi48o.
 
25
ComplexNetworkSim: https://​goo.​gl/​nczJTH.
 
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Metadaten
Titel
NDlib: a python library to model and analyze diffusion processes over complex networks
verfasst von
Giulio Rossetti
Letizia Milli
Salvatore Rinzivillo
Alina Sîrbu
Dino Pedreschi
Fosca Giannotti
Publikationsdatum
20.12.2017
Verlag
Springer International Publishing
Erschienen in
International Journal of Data Science and Analytics / Ausgabe 1/2018
Print ISSN: 2364-415X
Elektronische ISSN: 2364-4168
DOI
https://doi.org/10.1007/s41060-017-0086-6

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