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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| Format: | Article |
| Language: | zho |
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Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2020-05-01
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| Series: | Jisuanji kexue yu tansuo |
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| Online Access: | http://fcst.ceaj.org/CN/abstract/abstract2191.shtml |