Identifying influential spreaders in complex networks based on entropy weight method and gravity law
Yan Xiao-Li1, 2, 3, Cui Ya-Peng1, 2, 3, Ni Shun-Jiang1, 2, 3, †
       

Comparisons of ranking similarity between various combination methods and SIR model over six real-world networks. Kendall’s tau coefficient τ is acquired by varying infection probability λ, and results are obtained by averaging over 300 independent realizations.