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Complex Networks & Their Applications IX [electronic resource] : Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020 / edited by Rosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo.

Contributor(s): Benito, Rosa M [editor.] | Cherifi, Chantal [editor.] | Cherifi, Hocine [editor.] | Moro, Esteban [editor.] | Rocha, Luis Mateus [editor.] | Sales-Pardo, Marta [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 943Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XXVII, 685 p. 237 illus., 207 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030653477.Subject(s): Dynamics | Nonlinear theories | Computational intelligence | Graph theory | Applied Dynamical Systems | Computational Intelligence | Graph TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 515.39 Online resources: Click here to access online
Contents:
Structural Node Embedding in Signed Social Networks: Finding Online Misbehavior at Multiple Scales -- On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks -- Detecting Geographical Competitive Structure for POI Visit Dynamics -- Graph Convolutional Network with Time-based Mini-batch for Information Diffusion Prediction -- Experimental Evaluation of Train and Test Split Strategies in Link Prediction -- Incorporating Domain Knowledge into Health Recommender Systems Using Hyperbolic Embeddings -- Learning Parameters for Balanced Index Influence Maximization -- Connecting the Dots: Integrating Point Location Data into Spatial Network Analyses -- Topological Analysis of Synthetic Models for Air Transportation Multilayer Networks -- Extending DeGroot Opinion Formation for Signed Graphs and Minimising Polarization -- Forming Diverse Teams Based on Members’ Social Networks: A Genetic Algorithm Approach.
In: Springer Nature eBookSummary: This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks. .
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Structural Node Embedding in Signed Social Networks: Finding Online Misbehavior at Multiple Scales -- On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks -- Detecting Geographical Competitive Structure for POI Visit Dynamics -- Graph Convolutional Network with Time-based Mini-batch for Information Diffusion Prediction -- Experimental Evaluation of Train and Test Split Strategies in Link Prediction -- Incorporating Domain Knowledge into Health Recommender Systems Using Hyperbolic Embeddings -- Learning Parameters for Balanced Index Influence Maximization -- Connecting the Dots: Integrating Point Location Data into Spatial Network Analyses -- Topological Analysis of Synthetic Models for Air Transportation Multilayer Networks -- Extending DeGroot Opinion Formation for Signed Graphs and Minimising Polarization -- Forming Diverse Teams Based on Members’ Social Networks: A Genetic Algorithm Approach.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks. .

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