Parallelized network-driven analysis of network systems on commodity hardware

In recent times, the study of complex network systems, for example communication networks such as the Internet, Smart Grids or Social Networks, have received significant attention. While newly emerging data sets in these domains now allow for a broad quantitative exploration and empirical validation of theoretical models towards a better understanding of complex networks, the enormous size of complex networks make many analyses too computationally expensive, therefore rendering an effective study in most cases impractical. This paper argues that through parallelization and network-driven analysis an effective study becomes again feasible, and that such parallelization may even be achieved using commodity hardware, thus making this technique applicable to a broad community.