1 research outputs found
Weighted H-index for identifying influential spreaders
Spreading is a ubiquitous process in the social, biological and technological
systems. Therefore, identifying influential spreaders, which is important to
prevent epidemic spreading and to establish effective vaccination strategies,
is full of theoretical and practical significance. In this paper, a weighted
h-index centrality based on virtual nodes extension is proposed to quantify the
spreading influence of nodes in complex networks. Simulation results on
real-world networks reveal that the proposed method provides more accurate and
more consistent ranking than the five classical methods. Moreover, we observe
that the monotonicity and the computational complexity of our measure can also
yield excellent performance