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Computational data and social networ...
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Computational data and social networks10th International Conference, CSoNet 2021, virtual event, November 15-17, 2021 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational data and social networksedited by David Mohaisen, Ruoming Jin.
Reminder of title:
10th International Conference, CSoNet 2021, virtual event, November 15-17, 2021 : proceedings /
remainder title:
CSoNet 2021
other author:
Mohaisen, David.
corporate name:
Published:
Cham :Springer International Publishing :2021.
Description:
xii, 390 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Online social networksCongresses.
Online resource:
https://doi.org/10.1007/978-3-030-91434-9
ISBN:
9783030914349$q(electronic bk.)
Computational data and social networks10th International Conference, CSoNet 2021, virtual event, November 15-17, 2021 : proceedings /
Computational data and social networks
10th International Conference, CSoNet 2021, virtual event, November 15-17, 2021 : proceedings /[electronic resource] :CSoNet 2021edited by David Mohaisen, Ruoming Jin. - Cham :Springer International Publishing :2021. - xii, 390 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,131160302-9743 ;. - Lecture notes in computer science ;4891..
This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks.
ISBN: 9783030914349$q(electronic bk.)
Standard No.: 10.1007/978-3-030-91434-9doiSubjects--Topical Terms:
387148
Online social networks
--Congresses.
LC Class. No.: HM742 / .C76 2021
Dewey Class. No.: 006.754
Computational data and social networks10th International Conference, CSoNet 2021, virtual event, November 15-17, 2021 : proceedings /
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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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based on 0 review(s)
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電子館藏
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000000207758
電子館藏
1圖書
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EB HM742 .C738 2021 2021
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-91434-9
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