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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