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210104 ||| eng |
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|a 9783030653477
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| 100 |
1 |
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|a Benito, Rosa M.
|e [editor]
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| 245 |
0 |
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|a Complex Networks & Their Applications IX
|h Elektronische Ressource
|b Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
|c edited by Rosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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| 300 |
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|a XXVII, 685 p. 237 illus., 207 illus. in color
|b online resource
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| 505 |
0 |
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|a 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
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Applied Dynamical Systems
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Graph Theory
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| 653 |
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|a Nonlinear theories
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| 653 |
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|a Graph theory
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| 653 |
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|a Dynamics
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| 700 |
1 |
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|a Cherifi, Chantal
|e [editor]
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| 700 |
1 |
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|a Cherifi, Hocine
|e [editor]
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| 700 |
1 |
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|a Moro, Esteban
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Studies in Computational Intelligence
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| 028 |
5 |
0 |
|a 10.1007/978-3-030-65347-7
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-030-65347-7?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 515.39
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| 520 |
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|a 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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