作者
Aman Ullah, Bin Wang, JinFang Sheng, Jun Long, Nasrullah Khan, ZeJun Sun
发表日期
2021/3/17
期刊
Scientific Reports
卷号
11
期号
1
页码范围
6173
出版商
Nature Publishing Group UK
简介
Identification of Influential nodes in complex networks is challenging due to the largely scaled data and network sizes, and frequently changing behaviors of the current topologies. Various application scenarios like disease transmission and immunization, software virus infection and disinfection, increased product exposure and rumor suppression, etc., are applicable domains in the corresponding networks where identification of influential nodes is crucial. Though a lot of approaches are proposed to address the challenges, most of the relevant research concentrates only on single and limited aspects of the problem. Therefore, we propose Global Structure Model (GSM) for influential nodes identification that considers self-influence as well as emphasizes on global influence of the node in the network. We applied GSM and utilized Susceptible Infected Recovered model to evaluate its efficiency. Moreover, various …
学术搜索中的文章
A Ullah, B Wang, JF Sheng, J Long, N Khan, ZJ Sun - Scientific Reports, 2021