Machine Learning Techniques for Online Social Networks
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 38
Special Issue Editors
Interests: time series data management and analysis; complex network modeling and analysis; large graph data management; social network analysis
Special Issue Information
Dear Colleagues,
This Special Issue invites original work that enriches the intersection of machine learning and online social networks (OSNs). The spectacular scale, dynamism, and multimodality of today’s OSNs—from short-video platforms to professional graphs—demand new learning paradigms that can cope with non-stationary, privacy-regulated and adversarial environments while still delivering socially-aware decisions. We solicit contributions that advance theory, algorithms and reproducible systems for representation learning, graph neural networks, federated and privacy-preserving ML, causal inference, fairness auditing, misinformation detection, recommender systems, and conversational agents within OSNs. Submissions should emphasize open data, ethical considerations, and real-world deployment experiences. Both methodological innovations and high-impact applications are welcome; reproducibility artifacts and open-source code will be strongly encouraged in the review process.
Topics of interest include but are not limited to the following:
- Rumor Blocking;
- Privacy-Preserving Learning;
- Misinformation Detection;
- Temporal Network Modeling;
- Influence Maximization Analysis;
- Multimodal Social Content Analysis;
- Community Detection and Evolution;
- Explainable and Causal Inference in OSNs;
- Recommender Systems for Social Platforms;
- Adversarial and Robust ML in Social Networks.
Dr. Yuliang Ma
Dr. Shudong Li
Guest Editors
Manuscript Submission Information
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Keywords
- rumor blocking
- privacy-preserving learning
- misinformation detection
- temporal network modeling
- influence maximization
- multimodal social content
- community evolution
- explainable causal inference
- social recommender systems
- robust adversarial ML
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