Principles, Methods and Applications
$56.00 ( ) USD
- Vito Latora, Queen Mary University of London
- Vincenzo Nicosia, Queen Mary University of London
- Giovanni Russo, Università degli Studi di Catania, Italy
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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.Read more
- 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
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- Date Published: September 2017
- format: Adobe eBook Reader
- isbn: 9781108299961
- contains: 220 b/w illus. 25 tables 58 exercises
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
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
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