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|a 9783030818548
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|a Teixeira, Andreia Sofia
|e [editor]
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|a Complex Networks XII
|h Elektronische Ressource
|b Proceedings of the 12th Conference on Complex Networks CompleNet 2021
|c edited by Andreia Sofia Teixeira, Diogo Pacheco, Marcos Oliveira, Hugo Barbosa, Bruno Gonçalves, Ronaldo Menezes
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|a 1st ed. 2021
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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|a VIII, 133 p. 48 illus., 40 illus. in color
|b online resource
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|a Effects of Hidden Users on Cascade-based Community Detection -- Game of Thieves and WERW-Kpath: Two Novel Measures of Nodes and Edges Centrality for Mafia Networks -- Common Knowledge on Facebook Communication Networks: Models and Experimental Findings -- Logistics Route Planning in Agent-Based Simulation and its Optimization Represented in Higher-Order Markov-Chain Networks -- Degree-Degree Correlation in Networks with Preferential Attachment Based Growth -- On Measuring the Diversity of Organizational Networks -- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research -- MAVAC: Mapping and Visualization of Academic Collaborations with a Focus on Diversity -- Modelling Damage Propagation in Complex Networks: Life Exists in Half-chaos -- Information Seeking as an Evolutionary Game -- How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?
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|a Artificial intelligence / Data processing
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|a Complex Systems
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|a Computer science
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|a Computer Science
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|a Graph Theory
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|a System theory
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|a Graph theory
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|a Data Science
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|a Pacheco, Diogo
|e [editor]
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|a Oliveira, Marcos
|e [editor]
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|a Barbosa, Hugo
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Springer Proceedings in Complexity
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|a 10.1007/978-3-030-81854-8
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|u https://doi.org/10.1007/978-3-030-81854-8?nosfx=y
|x Verlag
|3 Volltext
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|a 530.1
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|a 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
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