DocumentCode :
3303833
Title :
Military Units Importance Evaluation Based on Complex Networks
Author :
Hai, Tian ; Bing, Nie ; Wujun, Zhang
Author_Institution :
Dept. of Transp. Command, Automobile Manage. Inst., Bengbu, China
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
737
Lastpage :
740
Abstract :
The network composed of military units with independent function in joint operation groups is an undirected weighted complex network. Once attacked electively, the core units of the joint operation groups will be destroyed easily and then cause the collapse of the whole network. In order to improve the anti-attack ability of networks, the core military units must be identified quickly and protected effectively. Thus, nodes importance evaluation method is introduced in this paper to evaluate the importance of military units. Based on the practical situation of joint operation groups networks, the paper shows a new network node importance evaluation method which is based on nodes correlation degree and nodes key degree to improve the existing evaluation methods. The method can reflect the nodes weights and communication frequency among nodes that have direct service communication. And the evaluation result can indicate the global importance and local importance of nodes objectively. The method mends up the deficiency of existing evaluation methods effectively and be more practical. According to evaluation models, the paper designs the evaluation algorithm and the complexity of the algorithm is more less than. Finally, the validity of the proposed method is verified by examples.
Keywords :
Algorithm design and analysis; Automobiles; Complex networks; Conference management; Frequency; Machine vision; Man machine systems; Military communication; Protection; Transportation; complex networks; correlation degree; importance; key degree; military units;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
Type :
conf
DOI :
10.1109/MVHI.2010.18
Filename :
5532490
Link To Document :
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