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Understanding the processes behind the evolution of complex networks is a key objective in network science. An effective framework for tackling this challenge is network model selection, which involves finding the model from a set of candidates that best explains a given network. This book is a systematic review of methods for this purpose. Each method is outlined in three parts: its core principle (used to organize methods into four categories), other relevant details including my own observations, and software availability. The book provides a comprehensive overview of the state-of-the-art in network model selection and concludes by exploring future directions. A unified, optimal method could identify the mechanisms that shape real-world networks more precisely than any current approach. This work represents the first step toward developing such an optimal method. It will be a valuable resource for students and researchers in network science.
Produkteigenschaften
- Artikelnummer: 9783032304476
- Medium: Buch
- ISBN: 978-3-032-30447-6
- Verlag: Springer Nature Switzerland AG
- Erscheinungstermin: 28.10.2026
- Sprache(n): Englisch
- Auflage: Erscheinungsjahr 2026
- Serie: SpringerBriefs in Complexity
- Produktform: Kartoniert
- Seiten: 92
- Format (B x H): 155 x 235 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Mathematik | Informatik
- EDV | Informatik
- Programmierung | Softwareentwicklung
- Algorithmen & Datenstrukturen
- Mathematik | Informatik
- EDV | Informatik
- Programmierung | Softwareentwicklung
- Algorithmen & Datenstrukturen