嵌入
最大化
级联
计算机科学
图形
相似性(几何)
数学优化
算法
数学
理论计算机科学
人工智能
工程类
化学工程
图像(数学)
作者
Mincan Li,Zidong Wang,Qing‐Long Han,Simon J. E. Taylor,Kenli Li,Xiangke Liao,Xiaohui Liu
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2023-09-01
卷期号:53 (9): 6004-6016
被引量:2
标识
DOI:10.1109/tcyb.2022.3227805
摘要
This article is concerned with the influence maximization (IM) problem under a network with probabilistically unstable links (PULs) via graph embedding for multiagent systems (MASs). First, two diffusion models, the unstable-link independent cascade (UIC) model and the unstable-link linear threshold (ULT) model, are designed for the IM problem under the network with PULs. Second, the MAS model for the IM problem with PULs is established and a series of interaction rules among agents are built for the MAS model. Third, the similarity of the unstable structure of the nodes is defined and a novel graph embedding method, termed the unstable-similarity2vec (US2vec) approach, is proposed to tackle the IM problem under the network with PULs. According to the embedding results of the US2vec approach, the seed set is figured out by the developed algorithm. Finally, extensive experiments are conducted to: 1) verify the validity of the proposed model and the developed algorithms and 2) illustrate the optimal solution for IM under different scenarios with PULs.
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