Computational Data and Social Networks : 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11¿13, 2020, Proceedings

Sriram Chellappan

ISBN 10: 3030660451 / ISBN 13: 9783030660451

Editore: Springer International Publishing, 2021

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9783030660451

Dati bibliografici

• Titolo: Computational Data and Social Networks : 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11¿13, 2020, Proceedings
• Editore: Springer International Publishing
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030660451
• ISBN 13: 9783030660451
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 31 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 31 millimetri di profondità
• Peso: 844 grammi

Descrizione articolo

Riassunto

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.