
doi: 10.1109/dsaa.2017.6
handle: 20.500.14243/344723 , 11568/905662 , 11384/114498 , 11585/1008832
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.
Complex Networkx, Complex Networkx; Diffusion Processes; Simulation Software, Simulation Software, Complex Networkx, Diffusion Processes, Simulation Software, Diffusion Processes
Complex Networkx, Complex Networkx; Diffusion Processes; Simulation Software, Simulation Software, Complex Networkx, Diffusion Processes, Simulation Software, Diffusion Processes
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
