
Complex Networks XIII
Proceedings of the 13th Conference on Complex Networks, CompleNet 2022
Springer (Publisher)
Published on 3. January 2024
Book
Paperback/Softback
IX, 122 pages
978-3-031-17660-9 (ISBN)
Description
This book contains contributions presented at the 13th International Conference on Complex Networks (CompleNet), April 19-22, 2022. 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 of networks, from biological to technological and to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.
More details
Series
Edition
2022 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
39 farbige Abbildungen, 4 s/w Abbildungen
IX, 122 p. 43 illus., 39 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
237 gr
ISBN-13
978-3-031-17660-9 (9783031176609)
DOI
10.1007/978-3-031-17658-6
Schweitzer Classification
Other editions
Additional editions

Diogo Pacheco | Andreia Sofia Teixeira | Hugo Barbosa
Complex Networks XIII
Proceedings of the 13th Conference on Complex Networks, CompleNet 2022
Book
01/2023
Springer
€213.99
Shipment within 15-20 days
Content
Targeted Attacks on the World Air Transportation Network: Impact on its Regional Structure.- Measuring Equality and Hierarchical Mobility on Abstract Complex Networks.- Broadcast Graphs with Nodes of Limited Memory.- Investigating the Origins of Fractality Based on Two Novel Fractal Network Models.- A Data-Driven Approach to Cattle Epidemic Modelling under Uncertainty.- Building a Reliable, Dynamic and Temporal Synthetic Model of the World Trade Web.- Co-attention based Multi-contextual Fake News Detection.- Correlation Financial Networks of an Unstable Stock Market: Empirical Study.- Extracting Characteristic Areas Based on Topic Distribution over Proximity Tree.