Complex Networks: Principles, Methods and Applications - Rilegato

Latora, Vito; Nicosia, Vincenzo; Russo, Giovanni

Rilegato

ISBN 10: 1107103185 ISBN 13: 9781107103184

Casa editrice: Cambridge University Press, 2017

Riassunto

Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences.

Su questo libro

Recensione

'This is a substantial text which will serve a broad section of readers who wish to gain insights into complex networks. Some effort will be needed to get the most out of this book but the reader who expends that effort will be well-rewarded. In turn, the authors are to be congratulated for the effort that they have made to produce such a delightful text.' K. Alan Shore, Contemporary Physics

Descrizione del libro

Including real-world data sets and ready-to-use software tools, this book encourages hands-on experimentation with complex network data. Students are guided through varying levels of complexity to gain a deep understanding of the basics and applications of network theory, making this an ideal university-level textbook for students across the scientific disciplines.

Dettagli dell?edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2017
• ISBN 10: 1107103185
• ISBN 13: 9781107103184
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 594