Buch, Englisch, Band 3086, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g
11th China National Conference, BDSC 2026, Chongqing, China, July 24-26, 2026, Proceedings
Buch, Englisch, Band 3086, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g
Reihe: Big Data and Social Computing
ISBN: 978-981-9237-33-3
Verlag: Springer Nature B.V.
This book constitutes the refereed proceedings of the 11th China National Conference on Big Data and Social Computing, BDSC 2026, held in Chongqing, China, during July 24–26, 2026.
The 29 full papers presented in this volume were carefully reviewed and selected from 84 submissions. They organised in the following topical sections as follows : Theories and Foundations of Social Computing; Trustworthy Social Computing for Security and Fairness; Resilient Society and Resilient AI; Data Intelligence and Data Governance; Cross-Modal Social Computing and Applications.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- Theories and Foundations of Social Computing .
.- The Double-Edged Sword of Collectivism: How Cultural Context Moderates Personality-Health Links Across U.S. States.
.- Positive and Negative Match Pattern: How Cultural Tightness–Looseness Recalibrates the Personality–Health Nexus Across the United States.
.- AI-Based Evaluation of Teacher Ethics in Higher Education Using Classroom Text Data.
.- Component-Based Prediction of Epidemic Prevalence in Directed Social Networks.
.- Governance Surprise, Attention Allocation, and Bureaucratic Responsiveness Heterogeneity in Digital Government——Evidence from a Municipal Hotline System in China.
.- A Clique-based Approach for Community Search in Heterogeneous Information Networks.
.- Semantic Fingerprint and Dynamic MinHash-LSH for Knowledge Graph Path Clustering.
.- Overlapping Community Detection and Evolution Analysis in Temporal Hypergraphs.
.- Intelligent Storyboard Generation: A Web-based System with LLMs and Diffusion Models.
.- Trustworthy Social Computing for Security and Fairness .
.- Empowerment or Deskilling: A Study on the Knowledge Gap Concerning the Effects of Large Language Models Dependence.
.- Research on AI-Generated Disclosure Characteristics, User Sharing and Behavioral Intervention.
.- A Media-Cognition-Interaction Framework for Group Emotion Dynamics: Dual Mechanisms on Multiple Social Platforms in the Era of Generative AI.
.- CC-Eval: Benchmarking Cross-Lingual Value Alignment and Chinese Context Tasks in Large Language Models.
.- Cost-Performance Adaptive Large Language Model Routing for Multi-Task Scenarios.
.- Navigating Trust and Risk Factors in AI-Assisted Learning Environments: Usage Challenges, Privacy Concerns, and Bias Issues.
.- Resilient Society and Resilient AI .
.- Detection and Mitigation of Popularity Bias in E-commerce Recommender Systems.
.- Attention Analysis of Flight Controllers Based on Eye Tracking.
.- Data Intelligence and Data Governance .
.- Location Selection for Users based on Direction and Time Aware.
.- Identifying and Analyzing Highway Commuter Vehicles Based on Regular Travel Behaviors.
.- Information Extraction and Supporting Spatial Constraint Modeling of Plant Habitat Text for Ecological Data Intelligence.
.- Empowering Classification of Retail Products with Large Language Models: Multi-level, Multi-label and Multi-consumer Perspectives.
.- When AI Service Fails: The Role of Procedural Fairness in Shaping Citizens’ Usage Intentions.
.- Unveiling the Spatiotemporal Dynamics and Determinants of Public Complaints: A Multiscale Geographically Weighted Negative Binomial Analysis.
.- Identification and Validation of a 9-Gene Prognostic Signature for Breast Cancer Based on Data Mining.
.- Cross-Modal Social Computing and Applications .
.- Sentiment Analysis of Online Public Opinion on University Faculty Misconduct: Evidence from Six Typical Cases on Weibo.
.- A Machine Learning-Based Prediction Model for Network Propagation.
.- Predicting User Interaction Outcomes with Text and Interaction Graphs.
.- CBFA-Net: Cross-Branch Feature Alignment for Trustworthy Medical Image Classification.
.- The Effect of Synchronous Group Virtual Exercise on Exercise Behavior Engagement.
