关键词: 目标控制, 多属性决策, 节点重要性

Abstract: Target control, aiming to study how to choose and control the part of nodes in the network, has mainly adopted random selection and local selection without considering the importance of nodes. Since the node importance evaluation index of existing complex network is single, this paper adopts a node importance evaluation method based on multiple-attribute decision from different angles by using several node importance indices. In order to      select important nodes for the target control, this paper gives different weights to evaluate and rank the nodes. The experimental results show that the method is able to select less driver nodes in both artificial data and real data sets.

Key words: target control, multiple-attribute decision, node importance