作者
Jian-Guo Liu, Jian-Hong Lin, Qiang Guo, Tao Zhou
发表日期
2016/2/24
期刊
Scientific reports
卷号
6
期号
1
页码范围
21380
出版商
Nature Publishing Group UK
简介
With great theoretical and practical significance, locating influential nodes of complex networks is a promising issue. In this paper, we present a dynamics-sensitive (DS) centrality by integrating topological features and dynamical properties. The DS centrality can be directly applied in locating influential spreaders. According to the empirical results on four real networks for both susceptible-infected-recovered (SIR) and susceptible-infected (SI) spreading models, the DS centrality is more accurate than degree, k-shell index and eigenvector centrality.
学术搜索中的文章
JG Liu, JH Lin, Q Guo, T Zhou - Scientific reports, 2016