A challenge to the simulation is the skewed degree distribution of SCN, which contains a few hub locations with large numbers of visitors. The skewed degree ...

A challenge to the simulation is the skewed degree distribution of SCN, which contains a few hub locations with large numbers of visitors. The skewed degree ...

This article proposes a comprehensive solution to address this challenge. First, the hub locations are decomposed into small locations, so that SCN can be ...

It has been observed that networks derived from real world typically have skewed degree distributions [Gonzalez et al. 2012], which means that a few nodes are ...

Oct 22, 2024 · However, a challenge to the parallel simulation is that the structure of SCN is naturally skewed with a few hub locations that have far more ...

The hub locations of SCN are decomposed into small locations, so that SCN can be divided into partitions with better balanced workloads and the overall ...

This paper proposes SUPE-Net, an efficient parallel simulation environment for large-scale social networks, built on parallel discrete event simulation ...

We argue that simulated networks and simulation-based models can be a valuable complement, and even a viable substitute, to real-world network data in ...

We present distributed memory parallel algorithms for switching edges in a network. • The algorithms are carefully designed to work efficiently with massive ...

An edge switch is an operation on a graph (or network) where two edges are selected randomly and one of their end vertices are swapped with each other.