| 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 |
|---|---|
| 507.72 KB |