Big Data and Social Computing (eBook, PDF)

10th China National Conference, BDSC 2025, Kunming, China, August 15-17, 2025, Proceedings
Redaktion: Meng, Xiaofeng; Zhan, Xiu-Xiu; Xu, Shuai; Chen, Hao; Chen, Hongmei; Wang, Lizhen

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 10th China National Conference on Big Data and Social Computing, BDSC 2025, held in Kunming, China, during August 15-17, 2025.

The 40 full papers included in this book were carefully reviewed and selected from 140 submissions. They were organized in topical sections as follows: Digital Society Construction and Governance; Modelling and Simulation of Social Systems; Internet Intelligent Algorithm Governance; Social Network and Group Behavior; Innovation, Risks, and Security of Large Language Models; Artificial Intelligence and Cognitive Science; Applications of Large Language Models in Societal Contexts and Social Geography and Urban Computing.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 506
• Erscheinungstermin: 11. August 2025
• Englisch
• ISBN-13: 9789819508808
• Artikelnr.: 75170493

Inhaltsangabe

.- Digital Society Construction and Governance.

.- CNN-Based Grain Quality and Quantity Prediction from Small Samples.

.- Echo Chambers and Filter Bubbles Reconsidered: Unpacking Scholarly, Industrial, and Media Perspectives on Their Existence and Causes.

.- Exploration of Resilience in Nonlinear Collaborative Supply Chain Networks.

.- Detecting Malicious Websites Based on the System Provenance Dependency Graph and GraphSAGE.

.- Research on Critical Node Identification and Resilience Optimization Strategies for Urban Infrastructure Systems Considering Disaster Vulnerability.

.- Modelling and Simulation of Social Systems.

.- Resilience Analysis of Chinese Supply Chain Network Based on Critical Point Theory of Cooperative Network.

.- A Study of Population Census System Based on Signaling Data: A Case Study with Greater Bay Area Data.

.- An Effective and Efficient Framework for Mining Top-k Regional Co-location Patterns.

.- Optimizing Trust Mechanisms in Humanitarian Relief Logistics: A Mixed Methods Approach.

.- Internet Intelligent Algorithm Governance.

.- Artificial Intelligence Rumor Debunking: Influencing Factors and Mechanisms of Usage Intention.

.- An Integrated Analysis of Online Public Opinion on School Bullying: Combining LDA Topic Modeling and Sentiment Analysis.

.- M/M/c Queueing Model with Priorities and Variable Matching Rates.

.- Deep Multi-view Clustering Based on Cross-view Consistency and Adaptive Feature Weighting Mechanism.

.- Social Network and Group Behavior.

.- Incremental Community Search in Dynamic Attributed Heterogeneous Information Networks.

.- A Key User Influence Discovery Model Based on Multipropagation Dimensions in Topic Network.

.- Understanding Cross-Platform Links in User Profiles: A Data-Driven Analysis on Mastodon.

.- Multilayer Network Dismantling Problem based on Genetic Evolution.

.- Social Bot Detection via Heterogeneous Graph Learning and Sample Balancing Strategies.

.- Cost-aware Hypergraph Dismantling via Spectral Bridge Identification.

.- The Impact of Online Argumentation Strategies on Audience Persuasion: the Moderating Effect of the Big Five Personality.

.- Innovation, Risks, and Security of Large Language Models.

.- Causal Correlation-Driven Dynamic Weighting with Large Language Models for Aero-Engine Remaining Useful Life Prediction.

.- Risks of large language models misalignment: Multi-stakeholder obligations and governance.

.- Cultural Conflicts Between Generative AI and the Cultural Values of Language User Acculturation Strategies.

.- Exploring Bias Formation Mechanisms in Legal LLMs from a Cognitive Science Perspective.

.- Artificial Intelligence and Cognitive Science.

.- Dual Contrastive Incomplete Multi-View Clustering with Clustering-Oriented Guidance.

.- Dust Image Recognition Based on Improved U-Net Model with Pyramid Structure.

.- Progressive Feature Contrastive and Self-Weighted Neighbor-masked Fusion for Multi-View Clustering.

.- Spatio-Temporal Graph Representation Learning for POI Recommendation.

.- Big Five Personality Traits and State-Level Disparities in Mental Health Outcomes: Differential Associations with Substance Abuse and Mental Disorders.

.- Applications of Large Language Models in Societal Contexts.

.- Large Language Models are Great sEMG-Based Hand Gesture Recognizers.

.- Medical Staff Personal Protective Equipment Detection Network via Global Information and Multi-path Feature Fusion.

.- A Detection Method for the Dismantling Sequence of Protective Equipment for Medical Staff Based on Video Segmentation.

.- Between Life and Death: A Computational Analysis of AI Resurrection Discourse on Chinese Social Media.

.- Generative AI for Mental Health Education: A Comparison of ChatGPT and DeepSeek.

.- Social Geography and Urban Computing.

.- HeteroMoE: Spatio-temporal Heterogeneity Learning via Gated Mixture-of-Experts Networks.

.- Regional Personality and Life Outcomes in the USA: A State-Level Correlational Analysis.

.- Why Do Pro-Environmental Behaviors Diverge Between China and the West? A Bibliometric Study Based on CiteSpace.

.- PM2.5 Dispersion Path Prediction Model Based on Spatio-Temporal Attention Network.

.- State-level Insights into Personality and Well-being: A Correlational Analysis Based on a Large U.S. Sample.

.- STMGNN: A Spatio-Temporal Graph Model with Mamba for Long-term Traffic Flow Forecasting.