Behavioral Information Feedback With Large Language Models for Mental Disorders: Perspectives and Insights

This edition of the publication includes a robust collection of 104 regular papers and features a Special Issue on Knowledge- Infused Learning for Computational Social Systems. This special issue delves into the sophisticated integration of advanced technologies and knowledge-based methodologies within the analysis of computational social systems. Spanning 12 articles, the issue addresses a wide spectrum of topics, from big data management to refining machine learning models with domain-specific insights. It encompasses areas such as energy management in sensor networks, acoustic analysis of heartbeats, detection of fraudulent activities in online ratings, and the management of rumors on social networks, exemplifying the significant role that knowledge-infused learning plays in enhancing technological applications and fostering innovation in social computational systems.