CSoNet 2023 provides a premier interdisciplinary forum to bring together researchers and practitioners from all fields of big data networks, such as billion-scale network computing, data network analysis, mining, security and privacy, and deep learning. CSoNet 2023 seeks to address emerging yet important computational problems, with a focus on the fundamental background, theoretical technology development, and real-world applications associated with big data network analysis, modeling, and deep learning. The conference solicits theoretical, methodological, empirical, and experimental research reporting original and unpublished results on computational big data networks. The conference will be organized in Hanoi, Vietnam.

Topics of interest include, but are not limited to:

Real-world Complex Networks Analysis
Trends and Pattern Analysis in Social Networks
Representation Learning on Networks
Big Data Analysis
Mathematical Modeling and Analysis of Real-world Networks
Network Structure Analysis and Dynamics Optimization
Data Network Design and Architecture
Information Diffusion Models and Techniques
Security and Privacy in Data Networks
Efficient Algorithms for Large-scale Data Networks Computing
Reputation and Trust in Social Media
Social Influence, Recommendation, and Media
Energy Efficiency in Mobile Data Networks
Natural Language Understanding for Network Analysis
E-commerce and Social Media Marketing
Deep Learning on Graphs and its Application
Stock Market Prediction and Stock Recommendation
Anomaly Detection, Security, and Privacy in Big Data Networks
Analysis of signed and attributed real-world networks
Multidimensional graph analysis
Algorithmic fairness in network analysis and graph mining