Method for establishing evolution model of weighting command and control network based on local area world
A local world and network evolution technology, which is applied in the field of weighted accusation network evolution model construction based on the local world, can solve the problem that typical complex network models cannot fully reflect the time-varying topological structure of the accusation network, the time-varying edge weight local area selectivity, etc. question
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Embodiment 1
[0055] This embodiment introduces the description and analysis of the relationship between the basic entities of the accusation network, and then introduces the network structure and functional indicators:
[0056] 1. Abstraction of nodes and edges
[0057] Using the definition of nodes and edges, the command network model is constructed. Then, the weighted accusation network evolution model based on the local world is generated by using the adding or deleting method of accusation network nodes and edges, local world construction method and edge weight evolution method.
[0058] Combat elements are divided into three categories: perception nodes, accusation nodes, and fire strike nodes, characterized as:
[0059] V=V , T V ,H V ,COM V ,COOR V >
[0060] In the formula, ID V is the node serial number; T V is the node type; H V is the level to which the node belongs; COM V Represents node communication capabilities, such as bandwidth, processing power and reliability; ...
Embodiment 2
[0093] As a typical complex system, the command and control network has the characteristics of emergence, adaptability, uncertainty, and nonlinearity. At the same time, the command and control network will continue to evolve with changes in combat missions and confrontation environments, thereby affecting node attributes and edge attributes. Therefore, the following evolution characteristics need to be considered when formulating evolution rules and establishing a command and control network evolution model: (1) time-varying topology; (2) time-varying edge weight; (3) local selectivity.
[0094] This embodiment provides a method for constructing a weighted accusation network evolution model based on the local world, assuming that the initial time t=t 0 = 0, the number of network nodes at the beginning is n Init , the span is S, the network level is H, and the total step size of network evolution is t n , the command level is h; the specific steps are as follows:
[0095] S1...
Embodiment 3
[0132] This embodiment verifies and analyzes the model proposed by the method of embodiment 2, see figure 2 , image 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 As shown, the details are as follows:
[0133] By adjusting the occurrence probability of evolution events, the distribution of point weights, clustering coefficients, and average path length changes in the accusation network are analyzed. The accusation network point weight distribution is as follows: figure 2 As shown, the point weight obeys the power law distribution, indicating that the accusation network conforms to the scale-free characteristic. When p1=0.55, p2=0.35, the weight of the command coordination edge between the accusation nodes in the network is large, and the point weight is large, while Perception nodes or fire strike nodes are only directly connected to accusation nodes, and the point weight is relatively small. A small number of accusation nodes have greater weight, whi...
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