The structure of complex networks : theory and applications

Machine generated contents note: -- 1. Introduction -- 2. Adjacency Relationships in Networks -- 3. Metric and Topological Structure of Networks -- 4. Fragments (Subgraphs) in Complex Networks -- 5. Accounting for all parts (subgraphs) -- 6. Communicability Functions in Networks -- 7. Centrality Measures -- 8. Global Network Invariants -- 9. Expansion and Network Classes -- 10. Community Structure in Networks -- 11. Network Bipartivity -- 12. Random Models of Networks -- 13. Genetic Networks -- 14. Protein Residue Networks -- 15. Protein-protein Interaction Networks -- 16. The Structure of Reaction Networks -- 17. Intercellular Networks -- 18. Networks in Ecology -- 19. Socio-Economic Networks -- 20. Conclusions.

"This book deals with the analysis of the structure of complex networks by combining results from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 chapters are dedicated to the development of theoretical tools for the structural analysis of networks, and 7 chapters are illustrating, in a critical way, applications of these tools to real-world scenarios. The first chapters provide detailed coverage of adjacency and metric and topological properties of networks, followed by chapters devoted to the analysis of individual fragments and fragment-based global invariants in complex networks. Chapters that analyse the concepts of communicability, centrality, bipartivity, expansibility and communities in networks follow. The second part of this book is devoted to the analysis of genetic, protein residue, protein-protein interaction, intercellular, ecological and socio-economic networks, including important breakthroughs as well as examples of the misuse of structural concepts"--

"Readership Graduate students and researchers in the field of complex networks, mathematical chemistry, theoretical and computational biology, and social networks. Short Description The book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined, quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks"--