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Computational Data and Social Networks Theoretical Computer Science and General Issues

Computational Data and Social Networks Theoretical Computer Science and General Issues 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11-13, 2020, Proceedings - Lecture Notes in Computer Science

Paperback (04 Jan 2021)

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Publisher's Synopsis

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.

Book information

ISBN: 9783030660451
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Language: English
Number of pages: 538
Weight: 780g
Height: 235mm
Width: 155mm
Spine width: 29mm