This issue of IEEE Transactions on Computational Social Systems (TCSS) highlights cutting-edge research in computational social systems, focusing on the application of big data and computational techniques to enhance financial security. The issue includes 104 regular papers and a special section on Big Data and Computational Social Intelligence for Guaranteed Financial Security. Key topics covered include: 1. **Sora for Computational Social Systems**: Sora, a text-to-video generation model, is discussed for its potential to revolutionize social system modeling and experimentation, providing dynamic visual representations and insights into complex social dynamics. 2. **Regular Papers**: Various papers address a wide range of topics, including: - Information coverage maximization in topic-aware social networks. - Semantic-guiding adversarial networks for generating human trajectories. - Extracting emergency elements from emergency plans and constructing business process models. - Multikernel clustering methods using block diagonal graph learning. - Docking frameworks between domain and artificial society models. - Deep learning models for detecting hate speech and other harmful content. - Undersampling schemes for imbalanced classification. - Collaborative meta-path modeling for explainable recommendation. - Backdoor attacks on link prediction. - Fast local search approaches for solving $k$-vertex cut problems. - Hostile post detection in Hindi using deep learning frameworks. - Jargon understanding in online communities. - Account risk rating on Ethereum. - Predictive frameworks for human mobility prediction. - Chatbot architectures focusing on few-shot learning and context management. - App acquisition and management models. - Educational equality and equity problem. - Scale-free network models for societal structure. - Deep feature enhancement through attention mechanisms. - Information dissemination models in hierarchical networks. - Depression and stress detection in social media. - Mobile data offloading with UAV trajectory optimization. - Multiknowledge-enhanced summarization for meteorological social briefing. - Physiological models for cross-cultural emotion recognition. - Edge weighted loss functions for target localization. - Real-time intelligence evaluation frameworks for gifted students. - Common latent embedding space for cross-domain feature recognition. - Community deception problem using Laplace spectral lenses. - Routing techniques for wireless sensor networks. - Cross-target text-net for pose detection in social media. - Progress metrics for ongoing humiliation events. - Centrality models for semi-local and global centrality. - Public health crisis discussion analysis across multiple platforms. - Fast parallelization methods for multicore platforms. - Competitive bidding influence maximization. - Evolutionary game models for social competition. - Online task allocation algorithms. - Graph representation and classification of fake news. - Few-shot synthetic online transfer learning. - End-to-end frameworks for influence maximization. - Uncertain regression neural networks for pressure modeling. - Neural mechanisms in abstinent heroin addicts. - News recommendation systems based on multiview graphThis issue of IEEE Transactions on Computational Social Systems (TCSS) highlights cutting-edge research in computational social systems, focusing on the application of big data and computational techniques to enhance financial security. The issue includes 104 regular papers and a special section on Big Data and Computational Social Intelligence for Guaranteed Financial Security. Key topics covered include: 1. **Sora for Computational Social Systems**: Sora, a text-to-video generation model, is discussed for its potential to revolutionize social system modeling and experimentation, providing dynamic visual representations and insights into complex social dynamics. 2. **Regular Papers**: Various papers address a wide range of topics, including: - Information coverage maximization in topic-aware social networks. - Semantic-guiding adversarial networks for generating human trajectories. - Extracting emergency elements from emergency plans and constructing business process models. - Multikernel clustering methods using block diagonal graph learning. - Docking frameworks between domain and artificial society models. - Deep learning models for detecting hate speech and other harmful content. - Undersampling schemes for imbalanced classification. - Collaborative meta-path modeling for explainable recommendation. - Backdoor attacks on link prediction. - Fast local search approaches for solving $k$-vertex cut problems. - Hostile post detection in Hindi using deep learning frameworks. - Jargon understanding in online communities. - Account risk rating on Ethereum. - Predictive frameworks for human mobility prediction. - Chatbot architectures focusing on few-shot learning and context management. - App acquisition and management models. - Educational equality and equity problem. - Scale-free network models for societal structure. - Deep feature enhancement through attention mechanisms. - Information dissemination models in hierarchical networks. - Depression and stress detection in social media. - Mobile data offloading with UAV trajectory optimization. - Multiknowledge-enhanced summarization for meteorological social briefing. - Physiological models for cross-cultural emotion recognition. - Edge weighted loss functions for target localization. - Real-time intelligence evaluation frameworks for gifted students. - Common latent embedding space for cross-domain feature recognition. - Community deception problem using Laplace spectral lenses. - Routing techniques for wireless sensor networks. - Cross-target text-net for pose detection in social media. - Progress metrics for ongoing humiliation events. - Centrality models for semi-local and global centrality. - Public health crisis discussion analysis across multiple platforms. - Fast parallelization methods for multicore platforms. - Competitive bidding influence maximization. - Evolutionary game models for social competition. - Online task allocation algorithms. - Graph representation and classification of fake news. - Few-shot synthetic online transfer learning. - End-to-end frameworks for influence maximization. - Uncertain regression neural networks for pressure modeling. - Neural mechanisms in abstinent heroin addicts. - News recommendation systems based on multiview graph