Node Cluster Analysis of Weapon System of Systems Network based on SLPA

With the enhancement of weapon equipment information connectivity, weapon equipment has formed a large-scale weapon system. Understanding the structure of weapon system network is of great significance to win modern wars. In this paper, the weapon system of equipment is abstracted as the weapon system network, and combined with SLPA algorithm, the node clustering in the weapon system network is studied. By adjusting the threshold r, the nodes belonging to multiple communities and those not belonging to any community are studied. Through simulation, it is found that strike weapons are easy to form stable communities, and generally belong to a single community. The sensor and decision-making weapons, when the threshold r changes, are easy to belong to multiple overlapping communities and do not belong to any community.