Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13116)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: CSoNet 2021.
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About this book
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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Keywords
- adversarial attacks of network
- artificial intelligence
- computational methods for social good
- computer networks
- data mining
- graph theory
- influence modeling
- machine learning
- maximization
- network organization
- network protocols
- NLP and affective computing
- propagation
- security, trust and privacy
- semantics
- signal processing
- social networks
Table of contents (33 papers)
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Complex Networks Analytics
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Front Matter
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Special Track: Fact-Checking, Fake News and Malware Detection in Online Social Networks
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Front Matter
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Special Track: Information Spread in Social and Data Networks
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Front Matter
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Other volumes
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Computational Data and Social Networks
Editors and Affiliations
Bibliographic Information
Book Title: Computational Data and Social Networks
Book Subtitle: 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings
Editors: David Mohaisen, Ruoming Jin
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-91434-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-91433-2Published: 04 December 2021
eBook ISBN: 978-3-030-91434-9Published: 03 December 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 390
Number of Illustrations: 16 b/w illustrations, 81 illustrations in colour
Topics: Computer Applications, Natural Language Processing (NLP), Computer Communication Networks, Data Mining and Knowledge Discovery, Mobile and Network Security