핵심 개념
User relationships and attitudes significantly impact information propagation in social networks, necessitating a new model for accurate predictions.
초록
This article introduces a novel Independent Cascade Model that considers user relationships and attitudes in information propagation within social networks. It addresses the limitations of existing models by incorporating non-adjacent user interactions and user stances on topics. The proposed model shows increased prediction accuracy and reduced time complexity, aligning closely with actual information dissemination trends in social networks. The study emphasizes the importance of understanding emotional contagion and influence maximization in social networks.
Introduction: Discusses the impact of social networks on daily life and the challenges posed by rapid information dissemination.
Background: Explores existing information diffusion models and the need for incorporating additional factors like time, topic, space, user emotions, and individual preferences.
Proposed Model: Introduces the novel Independent Cascade Model considering non-adjacent user relationships and user attitudes towards topics.
Experimental Results: Validates the effectiveness of the proposed model using real Weibo datasets, showcasing improved prediction accuracy.
Comparison: Compares the proposed model with traditional models and existing sentiment-aware models, demonstrating superior performance.
Stance Analysis: Analyzes stance changes in users during information propagation, highlighting the model's accuracy in predicting user stances.
통계
"Experimental results confirmed the authenticity and effectiveness of the proposed model."
"The proposed model outperforms existing models in terms of accuracy."
인용구
"Accurately forecasting the information propagation process within social networks is crucial for promptly understanding the event direction and effectively addressing social problems in a scientific manner."
"The proposed model closely resembles the actual information propagation process, demonstrating its superiority."