Buch, Englisch, 201 Seiten, Format (B × H): 155 mm x 235 mm
Models, Algorithms, and Technologies for Network Analysis
Buch, Englisch, 201 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Springer Optimization and Its Applications
ISBN: 978-3-032-27388-8
Verlag: Springer
The book tackles two core challenges in modern network analysis: developing robust models to capture complex network dynamics and designing efficient algorithms for optimization problems. Part I delves into network models, presenting foundational analyses such as noisy binary choice games and innovative frameworks like geometric machine learning via Ricci flow. Part II shifts to optimization in networks and applications, featuring practical algorithms and real-world implementations, including AI-assisted tools in bibliometric network analysis and a compartmental model approaches.
Ideal for researchers, graduate students, and practitioners in network science, operations research, and applied mathematics, this book provides both theoretical insights and practical applications. With contributions from leading experts, it offers a rich resource for those seeking to understand and leverage the power of network analysis in diverse fields.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
Noisy Binary Choice(Ising) Games.- Uncertainty of Market Network Analysis.- When Do Pivotal Nodes Emerge? Tail Behavior and Bipartite Imbalance in Quota-Constrained Flow Networks.- Geometric Machine Learning via Ricci Flow: Unveiling Hidden Structures in Complex Datasets.- Rewire or Reward: Linear Externalities and the Social Planner’s Problems in Networks.- AI-Assisted Tools in Bibliometric Network Analysis.- Compartmental Model Approach to Drug Offense Mitigation.- Uncovering Network Patterns in the Russian Labor Market for Data Analysts Through Multimodal Graphs.- Application of Multiple Methods to Explore Thematic Evolution of Wellbeing Studies.
