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This rigorous introduction to network science presents Random Graphs as models for real-world networks.
Designed for a master\'s-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence o.
Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study.
Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them.
This rigorous introduction to network science presents Random Graphs as models for real-world networks
Uneori, aceste descrieri pot contine inadvertente. De asemenea, imaginea este informativa si poate contine accesorii neincluse in pachetele standard.
