UID:
almafu_9960118785202883
Format:
1 online resource (xxi, 559 pages) :
,
digital, PDF file(s).
ISBN:
1-108-29804-4
,
1-108-29996-2
,
1-316-21600-4
Content:
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 the 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.
Note:
Title from publisher's bibliographic system (viewed on 24 Oct 2017).
Additional Edition:
ISBN 1-107-10318-5
Additional Edition:
Print version: Latora, Vito. Complex networks. Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2017 ISBN 9781107103184
Language:
English
Subjects:
Mathematics
URL:
https://doi.org/10.1017/9781316216002
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