Complex Networks: Principles, Methods and Applications

Latora, Vito; Nicosia, Vincenzo; Russo, Giovanni

ISBN 10: 1107103185 / ISBN 13: 9781107103184

Published by Cambridge University Press, 2017

About this Item

Publisher's hardback, firm, square and tight with sharp corners and sturdy hinges, just showing a few minor rubs and some mild cosmetic wear. Hence a non-text page is stamped 'damaged'. Despite such this book is in nearly new condition. Looks and appears unread. Thus the contents are crisp, fresh and clean. Now offered for sale at a very sensible price. Seller Inventory # 135246

Bibliographic Details

Title: Complex Networks: Principles, Methods and ...

Publisher: Cambridge University Press

Publication Date: 2017

Binding: Hardcover

Condition: Like New

Edition: First Edition.

About this title

Synopsis:

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.

About the Authors:

Vito Latora is Professor of Applied Mathematics and Chair of Complex Systems at Queen Mary University of London. Noted for his research in statistical physics and in complex networks, his current interests include time-varying and multiplex networks, and their applications to socio-economic systems and to the human brain.

Vincenzo Nicosia is a Lecturer in Networks and Data Analysis at the School of Mathematical Sciences at Queen Mary University of London. His research spans several aspects of network structure and dynamics, and his recent interests include multi-layer networks and their applications to big data modelling.

Giovanni Russo is Professor of Numerical Analysis in the Department of Mathematics and Computer Science at the Universitą degli Studi di Catania, Italy, focusing on numerical methods for partial differential equations, with particular application to hyperbolic and kinetic problems.