Computational Data And Social Networks
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Computational Data and Social Networks
Author | : David Mohaisen |
Publisher | : Springer Nature |
Total Pages | : 392 |
Release | : 2021-12-03 |
Genre | : Computers |
ISBN | : 3030914348 |
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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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