Computational Data and Social Networks 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11–13, 2020, Proceedings /
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...
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| Other Authors: | , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Theoretical Computer Science and General Issues ;
12575 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-66046-8 |
| Summary: | 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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| Physical Description: | XXV, 538 p. 265 illus., 177 illus. in color. online resource. |
| ISBN: | 9783030660468 |