Social Computing
Description
This book constitutes the refereed post-conference proceedings of the 6th International Conference, on Social Computing, ICSC 2025, held in Shanghai, China, during December 12-13, 2025.
The 22 full papers included in this book were carefully reviewed and selected from 73 submissions. The papers have been organized in the following topical sections as follows: Advancements in methods for the broadly defined field of social computing; Online social network analysis, mining, and modeling; Large-scale social media analytics and intelligence; Trust, privacy, security, and fairness in social systems; Applied social computing applications in diverse areas such as health and finance; Governance, policy, ethical, and legal challenges of emergent social technologies.
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Content
.- Advancements in methods for the broadly defined field of social computing.
.- Energy-Efficient Asynchronous Federated Learning via Model Compression for Mobile Social Computing.
.- Computational Analysis of Urban Crime Concentration: Insights from Legal Big Data in China.
.- The Emergence of Shared Norms in Decentralized Networks: A Social Computing Model of Lexical Coordination.
.- Preserving Topological Information for Social Network Condensation via Knowledge Distillation.
.- BT-CNN: A Binary Tree-Convolutional Neural Network for Influential Node Identification in Complex Networks.
.- ValueLex: Revealing the Value Structures of Large Language Models.
.- Online social network analysis, mining, and modeling.
.- Accurate Source Localization via Joint Learning of Infection States and Diffusion Patterns.
.- Young AI Scientists in the New AI Age: Increasingly Early and Growing Dominance of Career Novelty in Their Research Trajectories.
.- TempoTriads: Streaming Estimation of Temporal Triadic Motifs for Social-Computing Streams.
.- Large-scale social media analytics and intelligence.
.- The Global Ecology of Chinese Language Learning on TikTok: Insights from 75,188 Videos.
.- When AI Joins the Thread: a Computational Analysis of Gendered Human-AI Interactions on Weibo.
.- Trust, privacy, security, and fairness in social systems.
.- SHIELD-SLM: A Dual-Format and Interval-Scored Framework for Small Language Model Evaluation.
.- Learning User-Resource Interactions for Dynamic Access Control based on Graph-Transformer Fusion.
.- CTP2KL: Collaborative Trajectory Protection against Knowing-and-Learning Attacks in Multiple Location-based Services.
.- Cultural Bias in Minority Language LLMs.
.- Applied social computing applications in diverse areas such as health and finance.
.- A Multi-factor Deep Hybrid Model for Road Risk Prediction.
.- IPMMO: Unifying Benchmarks and Models for Propagation Optimization.
.- Effective Bird Nest Detection based on Improved YOLOV5 with Transformer Prediction Heads.
.- Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility.
.- Governance, policy, ethical, and legal challenges of emergent social technologies.
.- Balancing Privacy and Security: An Ethical Analysis of AI-Driven Surveillance in the UAE, USA, and UK.
.- Geographic Patterns in Public Response to China's National Childcare Subsidy: A Large-Scale Social Media Analysis.