Complex Networks
Complex Networks
Vincenzo Nicosia, Queen Mary University of London
Giovanni Russo, Università degli Studi di Catania, Italy
$81.99
USDNetworks 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.
- The first textbook integrating all aspects of network science, from fundamental principles to mathematical analysis and computational modelling
- Provides a comprehensive selection of data sets of social, biological and technological complex networks
- Includes detailed descriptions of computer algorithms for network analysis and modelling with corresponding implementations in C language freely available online
- Presents the history of network science alongside the corresponding concepts and mathematical tools, by combining theory with the real-world applications that have inspired network models and algorithms
Reviews & endorsements
'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
'Thanks to its colloquial style, the extensive use of examples and the accompanying software tools and network data sets, this book is the ideal university-level textbook for a first module on complex networks. It can also be used as a comprehensive reference for researchers in mathematics, physics, engineering, biology and social sciences, or as a historical introduction to the main findings of one of the most active interdisciplinary research fields of the moment.' Mathematical Reviews Clippings
Product details
October 2017Hardback
9781107103184
594 pages
253 × 194 × 28 mm
1.41kg
220 b/w illus. 25 tables 58 exercises
Available
Table of Contents
- Preface
- Introduction
- 1. Graphs and graph theory
- 2. Centrality measures
- 3. Random graphs
- 4. Small-world networks
- 5. Generalised random graphs
- 6. Models of growing graphs
- 7. Degree correlations
- 8. Cycles and motifs
- 9. Community structure
- 10. Weighted networks
- Appendix
- References
- Author index
- Index.
