Evaluation of Node Importance in ANN-based Communication Networks
Yongming Wu · Communications technology · 2010
Exact evaluation of the node importance in communication network plays a critical role in network design, maintenance and management, and reliability enhancement. Some of the evaluation methods consider only single factor, so the results would not be objective and comprehensive. SOM neural network is applied to establishing important evaluation model of communication network node. Some criteria are selected to evaluate importance of node, such as node degree, node network cohesion, node affection degree on communication network generating tree and communication network reliability. Experimental result shows the proposed model could comprehensively evaluate the node importance of communication networks.