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Computational Data and Social Networks: 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 1113, 2020, Proceedings 2020 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 538 pages, height x width: 235x155 mm, weight: 854 g, 177 Illustrations, color; 88 Illustrations, black and white; XXV, 538 p. 265 illus., 177 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12575
  • Izdošanas datums: 04-Jan-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030660451
  • ISBN-13: 9783030660451
  • Mīkstie vāki
  • Cena: 46,91 €*
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  • Formāts: Paperback / softback, 538 pages, height x width: 235x155 mm, weight: 854 g, 177 Illustrations, color; 88 Illustrations, black and white; XXV, 538 p. 265 illus., 177 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12575
  • Izdošanas datums: 04-Jan-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030660451
  • ISBN-13: 9783030660451
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.

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.