Sora for Computational Social Systems: From Counterfactual Experiments to Artificiofactual Experiments With Parallel Intelligence.

Rui Qin ,Fei-Yue Wang ,Xiaolong Zheng , Qinghua Ni,Juanjuan Li,Xiao Xue,Bin Hu

IEEE Trans. Comput. Soc. Syst.（2024）

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摘要

Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) of 2024. This issue showcases an impressive array of 104 regular papers alongside our Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financial Security, highlighting cutting-edge research aimed at harnessing big data and computational techniques to fortify financial security amidst the digital finance evolution. With a focus on addressing the intricate challenges of financial big data, enhancing the efficacy of artificial intelligence, and covering critical topics from data mining to digital currencies, this issue underscores the vital role of cross-disciplinary efforts in mitigating financial security risks.

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关键词

Social Systems,Computer System,Counterfactual Experiments,Imagination,Artificial Intelligence,Big Data,Physical World,Financial Security,Complex Social Systems,Social Networks,Complex Systems,Simulated Data,Parallelization,Unmanned Aerial Vehicles,Real-world Datasets,Artificial Systems,Graph Convolutional Network,Graph Neural Networks,Self-supervised Learning,Level Of Intelligence,Mobile Edge Computing,Parallel Execution,Link Prediction,Patterns Of Social Behavior,Hypergraph,Evolutionary Game,Dynamic Graph,High-quality Content,Lightweight Model,Interactive

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