Complex Networks & Their Applications XIII - Cherifi, Hocine; Donduran, Murat; Rocha, Luis M.;(szerk.) - Prospero Internetes Könyváruház
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Értesítés a kedvenc témákról
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A termék adatai:
ISBN13:9783031824265
ISBN10:3031824261
Kötéstípus:Keménykötés
Terjedelem:444 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: 63 Illustrations, black & white; 63 Illustrations, color
700
Témakör:

Complex Networks & Their Applications XIII

Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 1
 
Kiadó: Springer
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Kötetek száma: 1 pieces, Book
 
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EUR 299.59
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127 086 Ft (121 034 Ft + 5% áfa)
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116 919 (111 351 Ft + 5% áfa )
Kedvezmény(ek): 8% (kb. 10 167 Ft)
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Rövid leírás:

This book highlights cutting-edge research in 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 XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.

Hosszú leírás:

This book highlights cutting-edge research in 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 XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.