# Research on Dynamic Evolution Model and Method of Communication Network Based on Real War Game
## 2 Generation Algorithm
### Network Topology and Degree Distribution Analysis  
From the topological structure of the combat network, it can be seen that the combat network is central and hierarchical. The outermost leaf nodes are sensor nodes and attack nodes, the central node is the commander node, and the communication node connects the central node. Among them, the communication processing node is at the top C2 node level, and the outermost task formation (the 4 th level C2 node) has no entity C2 nodes with only C2 attributes, and the formations are not interconnected. The sensor network is sorted according to the importance of the sensor nodes; then, weights are obtained according to the power-law distribution, and they are self-connected according to the probability. The attack subnetworks are not interconnected. The interconnection probability [28] of the sensor nodes and attack nodes is sorted according to the importance of the attack nodes, and then the weights are obtained according to the power law distribution and then interconnected according to the probability. Sensor nodes and non-affiliated command nodes are connected according to probability. The modeling combat network is shown in the Figure 3.  
Figure 3: Hierarchical diagram of combat network topology. It can be seen from Figure 4 that the degree distribution of the C2 subnetwork presents an obvious power-law distribution. In the actual combat network, the C2 network plays an important role such as information receiving, processing, coordination, uploading and distributing. Among them, (1) there is a distinction between superior and subordinate; and (2) there is a cooperative relationship of information transmission in the same level of the C2 subnetwork. Therefore, the characteristics of the C2 network can be regarded as a multi-layer network [26] formed by coupling the WS small world network and the BA scale-free network. It can be seen from Figure 5 that the sensor subnetwork is an open network with strong perception and interaction capabilities for the external environment. The communication network directly transmits the information obtained by the sensors to the C2 nodes to realize situational awareness. We use python's distribution fitting tool to realize the degree distribution statistics of the sensor subnetwork, and the result is shown in Figure 6. Obviously, the degree distribution of the sensor subnetwork is not linear, indicating that the sensor subnetwork has a certain degree of modularity: the sensor network is a flat network with community characteristics, which is of great significance to the improvement of the efficiency of information transmission between networks. Sensor nodes can quickly join and exit, which reduces the failure rate of the network and promotes the information fusion of the entire combat network. Figure 4: C2 subnetwork degree distribution. (**a**) The network topology. (**b**). Histogram of the node digrees of C2 subnetwork. (**c**) Log distribution of the node digrees of C2 subnetwork. Figure 5: Sensors subnetwork degree distribution. (**a**) The network topology. (**b**). Histogram of the node digrees of sensors subnetwork. (**c**) Log distribution of the node digrees of sensors subnetwork. It can be seen from Figure 6 that the communication relay nodes are in the fourth layer between the C2 nodes, the sensors, and the attack nodes, instead of directly interrupting the sensors, attack nodes, and relay nodes. As long as it is not a formation, the sensors and attack nodes must be connected through relay nodes. Which the attack subnetwork degree distribution is as shown in Figure 7. According to the distribution of node degree of \(CC,DD\), relay nodes can be generated with a certain probability.