Computational Data and Social Networks

Computational Data and Social Networks
Author :
Publisher : Springer Nature
Total Pages : 392
Release :
ISBN-10 : 9783030914349
ISBN-13 : 3030914348
Rating : 4/5 (49 Downloads)

Book Synopsis Computational Data and Social Networks by : David Mohaisen

Download or read book Computational Data and Social Networks written by David Mohaisen and published by Springer Nature. This book was released on 2021-12-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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