Influence maximization of informed agents in social networks
作者：
Highlights：
• A small number of informed agents can control opinion formation in complex networks.
• To infuence the society, we affect the nodes with small degrees are connected to hubs.
• Small in-degree with large out-degree provides efficient influence and propagation.
• Informed agents are more infuential in disassortative networks than assortative ones.
• The proposed method is more effective than using high centrality in opinion formation.
摘要
•A small number of informed agents can control opinion formation in complex networks.•To infuence the society, we affect the nodes with small degrees are connected to hubs.•Small in-degree with large out-degree provides efficient influence and propagation.•Informed agents are more infuential in disassortative networks than assortative ones.•The proposed method is more effective than using high centrality in opinion formation.
论文关键词：Complex networks,Opinion formation,Influence maximization,Influential identification,Informed agents,Multi-agent social simulation
论文评审过程：Available online 22 January 2015.
论文官网地址：https://doi.org/10.1016/j.amc.2014.12.139
