The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks.
The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks.
Computational Data and Social Networks: 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings
390Computational Data and Social Networks: 10th International Conference, CSoNet 2021, Virtual Event, November 15-17, 2021, Proceedings
390Paperback(1st ed. 2021)
Product Details
ISBN-13: | 9783030914332 |
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Publisher: | Springer International Publishing |
Publication date: | 12/06/2021 |
Series: | Lecture Notes in Computer Science , #13116 |
Edition description: | 1st ed. 2021 |
Pages: | 390 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |