Editors:
- Contains contributions presented at the 12th International Conference on Complex Networks
- Aims to explore and celebrate this interdisciplinary nature of complex networks
- Discusses ideas and findings about all types networks
Part of the book series: Springer Proceedings in Complexity (SPCOM)
Conference series link(s): CompleNet-Live: International Conference on Complex Networks
Conference proceedings info: CompleNet-Live 2021.
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Table of contents (11 papers)
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Front Matter
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Back Matter
About this book
This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 24-26 May 2021. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.
Editors and Affiliations
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Hospital da Luz Learning Health, Luz Saúde, Lisboa, Portugal
Andreia Sofia Teixeira
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Department of Computer Science, University of Exeter, Exeter, UK
Diogo Pacheco, Marcos Oliveira, Hugo Barbosa, Ronaldo Menezes
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Data for Science, Inc, New York, USA
Bruno Gonçalves
Bibliographic Information
Book Title: Complex Networks XII
Book Subtitle: Proceedings of the 12th Conference on Complex Networks CompleNet 2021
Editors: Andreia Sofia Teixeira, Diogo Pacheco, Marcos Oliveira, Hugo Barbosa, Bruno Gonçalves, Ronaldo Menezes
Series Title: Springer Proceedings in Complexity
DOI: https://doi.org/10.1007/978-3-030-81854-8
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-81853-1Published: 30 July 2021
Softcover ISBN: 978-3-030-81856-2Published: 31 July 2022
eBook ISBN: 978-3-030-81854-8Published: 29 July 2021
Series ISSN: 2213-8684
Series E-ISSN: 2213-8692
Edition Number: 1
Number of Pages: VIII, 133
Number of Illustrations: 8 b/w illustrations, 40 illustrations in colour
Topics: Complex Systems, Graph Theory, Computer Science, general, Data Structures and Information Theory, Artificial Intelligence