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Computational Data and Social Networks: 10th International Conference, Csonet 2021, Virtual Event, November 15-17, 2021, Proceedings

PUBLISHER Springer (12/04/2021)
PRODUCT TYPE Paperback (Paperback)

Description
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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Product Format
Product Details
ISBN-13: 9783030914332
ISBN-10: 303091433X
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 390
Carton Quantity: 20
Product Dimensions: 6.14 x 0.83 x 9.21 inches
Weight: 1.24 pound(s)
Feature Codes: Illustrated
Country of Origin: NL
Subject Information
BISAC Categories
Computers | Data Science - Data Analytics
Computers | Speech & Audio Processing
Computers | Networking - Hardware
Descriptions, Reviews, Etc.
publisher marketing
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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Paperback