Computational Data and Social Networks: 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings

The 10th International Conference on Computational Data and Social Networks,CSoNet 2021,was held online during November 15-17,2021,with 24 full and 8 short papers selected from 57 submissions. The papers were organized in topical sections such as Combinatorial optimization and learning, deep learning and applications to complex and social systems, measurements of insight from data, complex networks analytics, fact-checking, fake news, and malware detection in online social networks, and information spread in social and data networks.

Format: Paperback / softback
Length: 390 pages
Publication date: 04 December 2021
Publisher: Springer Nature Switzerland AG

The 10th International Conference on Computational Data and Social Networks,CSoNet 2021, was held online during November 15-17, 2021, due to the COVID-19 pandemic. This book constitutes the refereed proceedings of the conference, which featured 24 full and 8 short papers. The papers were carefully reviewed and selected from 57 submissions, organized into topical sections such as Combinatorial optimization and learning, deep learning and applications to complex and social systems, measurements of insight from data, complex networks analytics, fact-checking, fake news, and malware detection in online social networks, and information spread in social and data networks.

The conference aimed to bring together researchers and practitioners from around the world to explore the latest advancements in computational data and social networks. The topics covered included machine learning, network analysis, data mining, social computing, and big data. The conference also featured several keynote speeches and panel discussions, providing opportunities for networking and knowledge exchange.

The book will be valuable to researchers, students, and professionals in the field of computer science, social sciences, and related disciplines. It will provide a comprehensive overview of the latest research and trends in the field, and will serve as a reference for future research and development.

Overall, the 10th International Conference on Computational Data and Social Networks,CSoNet 2021, was a successful event that showcased the latest research and developments in the field. The book that resulted from the conference will contribute to the ongoing efforts to understand and analyze complex social and data networks.
The 10th International Conference on Computational Data and Social Networks,CSoNet 2021, was held online during November 15-17, 2021, due to the COVID-19 pandemic. This book constitutes the refereed proceedings of the conference, which featured 24 full and 8 short papers. The papers were carefully reviewed and selected from 57 submissions, organized into topical sections such as Combinatorial optimization and learning, deep learning and applications to complex and social systems, measurements of insight from data, complex networks analytics, fact-checking, fake news, and malware detection in online social networks, and information spread in social and data networks.

The conference aimed to bring together researchers and practitioners from around the world to explore the latest advancements in computational data and social networks. The topics covered included machine learning, network analysis, data mining, social computing, and big data. The conference also featured several keynote speeches and panel discussions, providing opportunities for networking and knowledge exchange.

The book will be valuable to researchers, students, and professionals in the field of computer science, social sciences, and related disciplines. It will provide a comprehensive overview of the latest research and trends in the field, and will serve as a reference for future research and development.

Overall, the 10th International Conference on Computational Data and Social Networks,CSoNet 2021, was a successful event that showcased the latest research and developments in the field. The book that resulted from the conference will contribute to the ongoing efforts to understand and analyze complex social and data networks.

The 10th International Conference on Computational Data and Social Networks,CSoNet 2021, was held online during November 15-17, 2021, due to the COVID-19 pandemic. This book constitutes the refereed proceedings of the conference, which featured 24 full and 8 short papers. The papers were carefully reviewed and selected from 57 submissions, organized into topical sections such as Combinatorial optimization and learning, deep learning and applications to complex and social systems, measurements of insight from data, complex networks analytics, fact-checking, fake news, and malware detection in online social networks, and information spread in social and data networks.

The conference aimed to bring together researchers and practitioners from around the world to explore the latest advancements in computational data and social networks. The topics covered included machine learning, network analysis, data mining, social computing, and big data. The conference also featured several keynote speeches and panel discussions, providing opportunities for networking and knowledge exchange.

The book will be valuable to researchers, students, and professionals in the field of computer science, social sciences, and related disciplines. It will provide a comprehensive overview of the latest research and trends in the field, and will serve as a reference for future research and development.

Overall, the 10th International Conference on Computational Data and Social Networks,CSoNet 2021, was a successful event that showcased the latest research and developments in the field. The book that resulted from the conference will contribute to the ongoing efforts to understand and analyze complex social and data networks.

Weight: 617g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030914332
Edition number: 1st ed. 2021