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portada Computational Data and Social Networks
Type
Physical Book
Publisher
Author
Year
2021
Language
English
Pages
404
Format
Paperback
Dimensions
23.4x15.6 cm
ISBN13
9783030914356

Computational Data and Social Networks

David Mohaisen;Ruoming Jin (Author) · Springer Nature B.V. · Paperback

Computational Data and Social Networks - David Mohaisen;Ruoming Jin

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Synopsis "Computational Data and Social Networks"

This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. 

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.

 

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