In social networks, the spread of information is generally influenced by various ethical considerations. Factors such as ethical decision-making, emotions, and environmental factors impact how individuals engage in information sharing.

We study how information propagation evolves, considering both individual psychological strategies and the broader dynamics of information spread. As information spreads, individuals adapt their strategies in response to the information flow and the decisions of others, leading to strategic interactions among network participants.

These strategy updates can also affect an individual’s involvement in information sharing. Based on real-world observation, we construct a coupled dual-layer network model integrating online and offline social relationships. Combining psychological decisionmaking mechanisms and collective behavioral dynamics, the proposed dynamic propagation model utilizes evolutionary game theory to effectively track the evolution of users’ psychological states and their influence on information sharing behaviors. Comparative analysis between simulated and actual propagation data validates the effectiveness of our model.

These findings provide new insights into decision-making behaviors related to information sharing on social networks.

Y. Qian, D. Zhao, C. Xia, M. Perc, Information Flow in Psychological Evolutionary Decision-making on Multiplex Networks: A Survey and Beyond, IEEE Transactions on Network Science and Engineering (2025).