Title | NDlib: Studying Network Diffusion Dynamics |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Rossetti, G, Milli, L, Rinzivillo, S, Sirbu, A, Pedreschi, D, Giannotti, F |
Conference Name | IEEE International Conference on Data Science and Advanced Analytics, DSA |
Conference Location | Tokyo |
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, ND LIB . ND LIB 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. |
URL | https://ieeexplore.ieee.org/abstract/document/8259774 |
DOI | 10.1109/DSAA.2017.6 |
Attachment | Size |
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NDLib.pdf | 507.72 KB |