Computational Data and Social Networks
Title | Computational Data and Social Networks PDF eBook |
Author | David Mohaisen |
Publisher | Springer Nature |
Pages | 392 |
Release | 2021-12-03 |
Genre | Computers |
ISBN | 3030914348 |
This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks.
Computational Data and Social Networks
Title | Computational Data and Social Networks PDF eBook |
Author | Sriram Chellappan |
Publisher | Springer Nature |
Pages | 551 |
Release | 2021-01-03 |
Genre | Computers |
ISBN | 303066046X |
This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020. The 20 full papers were carefully reviewed and selected from 83 submissions. Additionally the book includes 22 special track papers and 3 extended abstracts. The selected papers are devoted to topics such as Combinatorial Optimization and Learning; Computational Methods for Social Good Applications; NLP and Affective Computing; Privacy and Security; Blockchain; Fact-Checking, Fake News and Malware Detection in Online Social Networks; and Information Spread in Social and Data Networks.
Computational Data and Social Networks
Title | Computational Data and Social Networks PDF eBook |
Author | Thang N. Dinh |
Publisher | Springer Nature |
Pages | 313 |
Release | 2023-02-10 |
Genre | Computers |
ISBN | 3031263030 |
This book constitutes the refereed proceedings of the 11th International Conference on Computational Data and Social Networks, CSoNet 2022, held as a Virtual Event, during December 5–7, 2022. The 17 full papers and 7 short papers included in this book were carefully reviewed and selected from 47 submissions. They were organized in topical sections as follows: Machine Learning and Prediction, Security and Blockchain, Fact-checking, Fake News, and Hate Speech, Network Analysis, Optimization.
Computational Data and Social Networks
Title | Computational Data and Social Networks PDF eBook |
Author | Minh Hoàng Hà |
Publisher | Springer Nature |
Pages | 440 |
Release | |
Genre | |
ISBN | 9819706696 |
Computational Data and Social Networks
Title | Computational Data and Social Networks PDF eBook |
Author | Andrea Tagarelli |
Publisher | Springer Nature |
Pages | 372 |
Release | 2019-11-11 |
Genre | Computers |
ISBN | 3030349802 |
This book constitutes the refereed proceedings of the 8th International Conference on Computational Data and Social Networks, CSoNet 2019, held in Ho Chi Minh City, Vietnam, in November 2019. The 22 full and 8 short papers presented in this book were carefully reviewed and selected from 120 submissions. The papers appear under the following topical headings: Combinatorial Optimization and Learning; Influence Modeling, Propagation, and Maximization; NLP and Affective Computing; Computational Methods for Social Good; and User Profiling and Behavior Modeling.
Computational Data and Social Networks
Title | Computational Data and Social Networks PDF eBook |
Author | Xuemin Chen |
Publisher | Springer |
Pages | 544 |
Release | 2018-12-11 |
Genre | Computers |
ISBN | 3030046486 |
This book constitutes the refereed proceedings of the 7th International Conference on Computational Data and Social Networks, CSoNet 2018, held in Shanghai, China, in December 2018. The 44 revised full papers presented in this book toghether with 2 extended abstracts, were carefully reviewed and selected from 106 submissions. The topics cover the fundamental background, theoretical technology development, and real-world applications associated with complex and data network analysis, minimizing in uence of rumors on social networks, blockchain Markov modelling, fraud detection, data mining, internet of things (IoT), internet of vehicles (IoV), and others.
Computational Data and Social Networks
Title | Computational Data and Social Networks PDF eBook |
Author | David Mohaisen |
Publisher | |
Pages | 0 |
Release | 2021 |
Genre | Application software |
ISBN | 9783030914356 |
This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. .