文章基本信息

标题：Identifying Influential Nodes in Complex Networks Based on Local Effective Distance
本地全文：下载
作者：Junkai Zhang ; Bin Wang ; Jinfang Sheng 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2019
卷号：10
期号：10
页码：311-325
DOI：10.3390/info10100311
出版社：MDPI Publishing
摘要：With the rapid development of Internet technology, the social network has gradually become an indispensable platform for users to release information, obtain information, and share information. Users are not only receivers of information, but also publishers and disseminators of information. How to select a certain number of users to use their influence to achieve the maximum dissemination of information has become a hot topic at home and abroad. Rapid and accurate identification of influential nodes in the network is of great practical significance, such as the rapid dissemination, suppression of social network information, and the smooth operation of the network. Therefore, from the perspective of improving computational accuracy and efficiency, we propose an influential node identification method based on effective distance, named KDEC. By quantifying the effective distance between nodes and combining the position of the node in the network and its local structure, the influence of the node in the network is obtained, which is used as an indicator to evaluate the influence of the node. Through experimental analysis of a lot of real-world networks, the results show that the method can quickly and accurately identify the influential nodes in the network, and is better than some classical algorithms and some recently proposed algorithms.
关键词：Influential nodes; complex networks; effective distance; total influence Influential nodes ; complex networks ; effective distance ; total influence