Complex Networks

Principles, Methods and Applications

Nonfiction, Science & Nature, Science, Physics, Mathematical Physics, Mathematics
Cover of the book Complex Networks by Vito Latora, Vincenzo Nicosia, Giovanni Russo, Cambridge University Press
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Author: Vito Latora, Vincenzo Nicosia, Giovanni Russo ISBN: 9781108298049
Publisher: Cambridge University Press Publication: September 28, 2017
Imprint: Cambridge University Press Language: English
Author: Vito Latora, Vincenzo Nicosia, Giovanni Russo
ISBN: 9781108298049
Publisher: Cambridge University Press
Publication: September 28, 2017
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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