基于网络结构化指标的网络节点重要性评估算法

An Algorithm of Network Node Importance Evaluation Based on Network Structured Index

为了提高移动社交网络的重要节点识别的准确率,在获取移动社交网络数据的基础上,提出基于网络结构化指标的网络节点重要性评估算法,在对移动社交网络进行划分后,采用聚集系数和网络重要度综合评价移动社交网络节点的重要性。采用真实网络对本文提出的算法进行验证,验证结果表明:本文所提算法得到的结果与传统算法所得结果相比,其准确率得到提升,并具有一定的扩展性。

In order to improve the recognition accuracy of important nodes in mobile social networks, an algorithm of network node importance evaluation based on network structured index is proposed based on the data of mobile social networks. After dividing mobile social networks, the clustering coefficient and network importance are used to comprehensively evaluate the node importance of mobile social networks. In this paper, a real network is applied to verify the algorithm proposed in this paper. Experiments show that the accuracy of the proposed algorithm is higher than that of the traditional algorithm, and it has a certain scalability.