Computational Data and Social Networks: 13th International Conference, CSoNet 2024, Bangkok, Thailand, December 1618, 2024, Proceedings [Paperback]

This book constitutes the refereed conference proceedings of the 13th International Conference on Computational Data and Social Networks, CSoNet 2024, held in Bangkok, Thailand, during December 16–18, 2024.

The 18 full papers and 17 short papers presented in this volume were carefully reviewed and selected from 50 submissions. These papers deal with various aspects of computational data and social networks, focusing on large-scale network computing, data network analysis, mining,
security and privacy, optimization, and learning.

.- Navigating Trustworthiness in LLMs: An Examination of Privacy, Security,
and Robustness.

.- Multiscale Bernstein Copula with Bayesian Model Averaging.

.- Facility Location under Nonlinear Customer Demand: A Fully Polynomial Time Approximation Scheme.

.- Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems.

.- Query-Decision Regression for Misinformation Prevention in Social Networks.

.- Energy Distance-Based EBM for Skin Lesion Classification: A Novel Ap proach.

.- Trustworthiness in Vision-Language Models.

.- TIP: Predicting Tipping for User-Centered Misinformation Prevention.

.- A One-dimensional Generative Diffusion Model for Network Traffic Dataset Generation.

.- Pharmaceuticals Supply Chain Integrity: Ensuring the authenticity of drugs and preventing counterfeit medicine by leveraging Smart Contracts, NFT, IPFS, and Distributed Ledgers technology.

.- Enhancing Poultry Disease Classification with Data Augmentation and En semble Learning.

.- Classifying Lexical Variations in Thai Social Media: A Machine LearninlӍ