Related Books
Language: en
Pages: 341
Pages: 341
Type: BOOK - Published: 2016-12-22 - Publisher: Cambridge University Press
This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
Language: en
Pages: 341
Pages: 341
Type: BOOK - Published: 2016-12-22 - Publisher: Cambridge University Press
This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and
Language: en
Pages: 274
Pages: 274
Type: BOOK - Published: 2006 - Publisher: American Mathematical Soc.
Graph theory is a primary tool for detecting numerous hidden structures in various information networks, including Internet graphs, social networks, biological
Language: en
Pages: 203
Pages: 203
Type: BOOK - Published: 2010-05-31 - Publisher: Cambridge University Press
The theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six degrees of separation
Language: en
Pages: 483
Pages: 483
Type: BOOK - Published: 2016 - Publisher: Cambridge University Press
The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.