Computational Data and Social Networks

9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11-13, 2020, Proceedings
1. Auflage 2020
ISBN: 978-3-030-66045-1
Verlag: Springer International Publishing

Buch, Englisch, 538 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 850 g

Reihe: Theoretical Computer Science and General Issues

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.

Zielgruppe

Research

Autoren/Hrsg.

Chellappan, Sriram

Choo, Kim-Kwang Raymond

Phan, Nhathai

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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.- Information Spread in Social and Data Networks.