Advanced Technologies and Applications of Social Networks: From Network Security to Intelligent Systems

Social networks have evolved from simple information sharing platforms to complex ecosystems connecting billions of users worldwide. Its data scale is growing exponentially, and user behavior patterns, content generation, and dissemination mechanisms are becoming increasingly complex. At the same time, the application of advanced technologies such as artificial intelligence (AI), blockchain, Internet of Things and edge computing has provided a new paradigm for the security protection and function upgrading of social networks. For example, AI driven threat detection system can identify malicious acts in real time, blockchain technology can guarantee user data sovereignty and edge computing can reduce content review delay. However, advanced technologies and applications also bring new challenges. For example, the contradiction between cross platform data sharing and privacy protection, defense strategies against AI generated attacks, and the potential impact of intelligent systems on human social behavior.

However, while advanced technology and applications bring many opportunities to social networks, they also bring a series of new challenges. How to use advanced encryption technology, anonymization processing methods and fine-grained access control strategies to ensure the security of user data during storage and transmission has become an important issue that urgently needs to be addressed. How to combine multimodal technologies such as natural language processing, image recognition and video analysis to develop efficient algorithms for identifying false information and malicious content has become a key link in ensuring the healthy development of social networks. How to use AI technology to achieve more humanized and intelligent interaction design, providing users with accurate and personalized content recommendations, has become the key to improving the user experience of social networks. How to use real-time detection technology to timely and accurately monitor and warn of abnormal behavior in social networks, ensuring the stable operation of social networks, has become an important task in social network management. Exploring the deep integration of IoT devices with social networks, enabling physical devices to have social interaction capabilities and endowing IoT with social attributes, is an important direction for expanding the application scenarios of social networks.

This Research Topic invites high-quality original research papers and review articles in social network analysis, network science, data science, artificial intelligence, computational social science and related interdisciplinary fields. We particularly encourage the submission of research results that integrate advanced data-driven models, are committed to solving major real-world problems. All submissions will undergo a rigorous, fair and fast peer review process.

Research interests include but are not limited to the following areas:

1. Trust Mechanism of Blockchain Technology in Social Network Data Sharing
2. Application and Privacy Protection of Federated Learning in Cross Platform Social Recommendation
3. Application of Zero Trust Security Architecture in Social Network
4. Intelligent Applications in Social Network
5. Optimization of False Information Detection Model Based on Multimodal Approach
6. Modeling and Deduction of Social Network Information Warfare Based on Multi-agent Simulation
7. Security and Application of Social Network Technology
8. Analysis and Application of Social Network Based on Artificial Intelligence