scholarly journals Hierarchical Evolution Model of Command and Control Network Based on Hypernetwork

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Yunming Wang ◽  
Bo Chen ◽  
Xiaoshuang Chen ◽  
Chengsheng Pan
Keyword(s):  
Organizational Structure ◽  
Simulation Analysis ◽  
Command And Control ◽  
Evolution Model ◽  
Control Network ◽  
Theoretical Derivation ◽  
Scale Free ◽  
The Hierarchical Structure ◽  
Heterogeneous Nodes ◽  
And Control

According to the hierarchical structure of command and control network and the characteristics of hypernetwork such as heterogeneous nodes and multiple links, a hierarchical evolution model of command and control network based on hypernetwork is established. Considering the nonuniqueness of the number and frequency of new joining nodes in different layers, a different number of new joining nodes are set in different layers, and the frequency of new joining nodes in each layer is set. A K(Mn+1) strategy of hierarchical joining of nodes is proposed. The theoretical derivation and simulation prove that the network model has scale-free characteristics. The simulation analysis of different measurement indicators shows that the hierarchical command and control hypernetwork has higher command efficiency, better connectivity between nodes, and stronger reliability of organizational structure.

scholarly journals Influential Node Identification in Command and Control Networks Based on Integral k-Shell

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Yunming Wang ◽  
Bo Chen ◽  
Weidong Li ◽  
Duoping Zhang
Keyword(s):  
Network Performance ◽  
Simulation Analysis ◽  
Command And Control ◽  
Control Network ◽  
Control Networks ◽  
Influential Nodes ◽  
Influential Node ◽  
And Control ◽  
Global And Local ◽  
The Impact

Influential nodes act as a hub for information transmission in a command and control network. The identification of influential nodes in a network of this nature is a significant and challenging task; however, it is necessary if the invulnerability of the network is to be increased. The existing k-shell method is problematic in that it features a coarse sorting granularity and does not consider the local centrality of nodes. Thus, the degree of accuracy with which the influential nodes can be identified is relatively low. This motivates us to propose a method based on an integral k-shell to identify the influential nodes in a command and control network. This new method takes both the global and local information of nodes into account, introduces the historical k-shell and a 2-order neighboring degree, and refines the k-shell decomposition process in a network. Simulation analysis is carried out from two perspectives: to determine the impact on network performance when influential nodes are removed and to obtain the correlation between the integral k-shell value and its propagation value. The simulation results show that the integral k-shell method, which employs an algorithm of lower complexity, accurately identifies the influence of those nodes with the same k-shell values. Furthermore, the method significantly improves the accuracy with which the influential nodes can be identified.

Modeling and Analysis of C2 Network System

2011 ◽  
Vol 148-149 ◽  
pp. 1554-1557
Author(s):  
Xiao Song ◽  
Li Dong Qian ◽  
Xue Cheng Shi ◽  
Shao Yun Zhang
Keyword(s):  
Complex Systems ◽  
Command And Control ◽  
System Of Systems ◽  
Simulation System ◽  
Network System ◽  
Modeling And Analysis ◽  
Scale Free ◽  
And Control

A command and control (C2) simulation system, ZZSIM is built. The characteristics of ZZSIM models are discussed, comparing System of Systems, HLA systems and complex systems. It is concluded that HLA based C2 simulation is valid. Then the communication data among C2 simulation nodes are recorded and analyzed, which shows that ZZSIM is scale-free. Therefore the data verify that ZZSIM is a valid simulation system of network centric war.

Measure of invulnerability for command and control network based on mission link

2018 ◽  
Vol 426 ◽  
pp. 148-159 ◽  
Author(s):  
Wang Yunming ◽  
Chen Si ◽  
Pan Chengsheng ◽  
Chen Bo
Keyword(s):  
Command And Control ◽  
Control Network ◽  
And Control
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