Complex Networks & Their Applications IX
Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
(Sprache: Englisch)
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...
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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.
Inhaltsverzeichnis zu „Complex Networks & Their Applications IX “
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.Bibliographische Angaben
- 2021, 1st ed. 2021, XXVII, 685 Seiten, 207 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Rosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo
- Verlag: Springer, Berlin
- ISBN-10: 3030653498
- ISBN-13: 9783030653491
Sprache:
Englisch
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