Complexity of Social Networks
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 178
Special Issue Editors
Interests: complex networks; computational social science; social networks; recommender systems; complex systems
Interests: computational social science; social networks; AI; complex systems
Interests: social robots; computational communication; complex networks; social network analysis; big data analysis
Special Issue Information
Dear Colleagues,
Social networks are characterized by heterogeneous structures, nonlinear dynamics, and evolving interactions among individuals, groups, and communities. Studying these networks is essential for understanding information diffusion, opinion evolution, and collective behavior in digital societies. Recent advances in computational methods have leveraged complex network theory to uncover the underlying mechanisms, including influence propagation, misinformation diffusion, and network evolution.
Digital platforms, such as social media and recommender systems, play vital roles in shaping communication and interactions. Through algorithmic mediation, these platforms impact information flows, influence user behavior, and contribute to the emergence of echo chambers and polarization, significantly promoting the complexity of analyzing the data and undemanding the underlying mechanism. Despite progress, significant challenges persist, particularly in understanding the dynamic patterns of information diffusion, the long-term effects of algorithmic recommendations on network structure, and the role of AI agents in simulating user interactions within these systems.
Therefore, this Special Issue seeks state-of-the-art research on social network complexity, emphasizing theoretical, computational, and applied approaches. Topics include information spreading mechanisms, community structure change, algorithmic system dynamics, AI in social network models, and novel methodologies for complex network analysis. Contributions are encouraged to address emerging challenges in algorithm-driven social systems or propose innovative frameworks.
Prof. Dr. Zi-Ke Zhang
Dr. Junming Huang
Dr. Xiaoke Xu
Dr. Quanhui Liu
Guest Editors
Manuscript Submission Information
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Keywords
- social networks
- social media
- network structure dynamics
- echo chambers
- collective behavior
- AI in social networks
- information diffusion
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