Computational Data and Social Networks
9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11-13, 2020, Proceedings
Springer Nature Switzerland
ISBN 978-3-030-66046-8
Standardpreis
Bibliografische Daten
eBook. PDF. Weiches DRM (Wasserzeichen)
2021
XXV, 538 p. 265 illus., 177 illus. in color..
In englischer Sprache
Umfang: 538 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-030-66046-8
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Theoretical Computer Science and General Issues Lecture Notes in Computer Science
Produktbeschreibung
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.
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