Nowadays the analysis of diffusive phenomena occurring on top of complex networks represents a hot topic in the Social Network Analysis playground. In order to support students, teachers, developers and researchers in this work we introduce a novel simulation framework, NDlib. NDlib is designed to be a multi-level ecosystem that can be fruitfully used by different user segments. Upon the diffusion library, we designed a simulation server that allows remote execution of experiments and an online visualization tool that abstract the programmatic interface and makes available the simulation platform to non-technicians.

Rossetti, G., Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., Giannotti, F. (2017). NDlib: Studying Network Diffusion Dynamics. IEEE Computer Society [10.1109/DSAA.2017.6].

NDlib: Studying Network Diffusion Dynamics

Sirbu, Alina;
2017

Abstract

Nowadays the analysis of diffusive phenomena occurring on top of complex networks represents a hot topic in the Social Network Analysis playground. In order to support students, teachers, developers and researchers in this work we introduce a novel simulation framework, NDlib. NDlib is designed to be a multi-level ecosystem that can be fruitfully used by different user segments. Upon the diffusion library, we designed a simulation server that allows remote execution of experiments and an online visualization tool that abstract the programmatic interface and makes available the simulation platform to non-technicians.
2017
Data Science and Advanced Analytics (DSAA), 2017 IEEE International Conference on
155
164
Rossetti, G., Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., Giannotti, F. (2017). NDlib: Studying Network Diffusion Dynamics. IEEE Computer Society [10.1109/DSAA.2017.6].
Rossetti, Giulio; Milli, Letizia; Rinzivillo, Salvatore; Sirbu, Alina; Pedreschi, Dino; Giannotti, Fosca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1008832
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