Local Probability Solution Based Immune Genetic Influence Maximization Algorithm

The problem of influence maximization is to select a small number of users in a complex social network to maximize the diffusion of influence under a specific propagation model. The greedy Monte Carlo simulation approach theoretically guarantees a near-optimal solution, but it is very inefficient. A...

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Bibliographic Details
Published inJisuanji kexue yu tansuo Vol. 14; no. 5; pp. 783 - 791
Main Author QIAN Fulan, XU Tao, ZHAO Shu, ZHANG Yanping
Format Journal Article
LanguageChinese
Published Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 01.05.2020
Subjects
immune genetic
in uence maximization
monte carlo simulation
social network
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