Complex Networks & Their Applications IX -

Complex Networks & Their Applications IX

Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
Buch | Softcover
XXVII, 685 Seiten
2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-65349-1 (ISBN)
374,49 inkl. MwSt

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. 

 


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 Di usion 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 In uence 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.

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XXVII, 685 p. 237 illus., 207 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1080 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Graphentheorie
Technik
Schlagworte complex networks • Complex Networks 2020 • network analysis • network dynamics • Network Models
ISBN-10 3-030-65349-8 / 3030653498
ISBN-13 978-3-030-65349-1 / 9783030653491
Zustand Neuware
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