Computational Data and Social Networks: 11th International Conference, CSoNet 2022, Virtual Event, December 5-7, 2022, Proceedings

This book presents the refereed proceedings of the 11th International Conference on Computational Data and Social Networks, CSoNet 2022, including full and short papers on machine learning, security, fact-checking, fake news, and hate speech, network analysis, and optimization.

Format: Paperback / softback
Length: 306 pages
Publication date: 11 February 2023
Publisher: Springer International Publishing AG

The 11th International Conference on Computational Data and Social Networks, CSoNet 2022, was held as a Virtual Event during December 5-7, 2022. This book encompasses the refereed proceedings of the conference, featuring 17 full papers and 7 short papers. These papers were meticulously reviewed and chosen from a total of 47 submissions, with each paper being organized into topical sections such as Machine Learning and Prediction, Security and Blockchain, Fact-checking, Fake News, and Hate Speech, Network Analysis, and Optimization.

The conference aimed to bring together researchers, practitioners, and experts from around the world to explore the latest advancements and challenges in computational data and social networks. The topics covered included machine learning algorithms for predicting social phenomena, secure communication and blockchain technologies, fact-checking and fake news detection, network analysis techniques for understanding social networks, and optimization algorithms for improving network performance.

The contributions presented in this book showcase the state-of-the-art research and innovative solutions in the field of computational data and social networks. The papers cover a wide range of applications, including social media analysis, healthcare, finance, and transportation. The authors employ various methodologies, such as statistical analysis, artificial intelligence, and machine learning, to address complex problems and provide valuable insights.

The conference also featured several keynote speeches and panel discussions, where renowned researchers and industry experts shared their perspectives and insights on the latest trends and developments in the field. The discussions covered topics such as the impact of social networks on society, the challenges of data privacy and security, and the role of computational data and social networks in addressing global challenges such as climate change and social inequality.

Overall, the 11th International Conference on Computational Data and Social Networks, CSoNet 2022, was a successful event that facilitated knowledge exchange, collaboration, and innovation in the field of computational data and social networks. The proceedings in this book provide a valuable resource for researchers, practitioners, and policymakers interested in advancing the field and addressing the emerging challenges of our digital age.

Weight: 492g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031263026
Edition number: 1st ed. 2023