Table of Contents

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

About the Author

Ernesto Estrada obtained a PhD in Mathematical Chemistry from the Central University of Las Villas, Cuba in 1997 and completed post-doctoral studies at the University of Valencia, Spain and the Hebrew University of Jerusalem, Israel. In 2008 he was appointed Professor and Chair in Complexity Science at the Department of Mathematics and Statistics and the Department of Physics, University of Strathclyde, Glasgow, U.K. In 2005 he was elected fellow of the
International Academy of Mathematical Chemistry (IAMC) and in 2007 he received the IAMC award as Outstanding Scientist for his multidisciplinary research in the field of complex networks. Estrada has published
more than 140 scientific papers and has made seminal pioneering contributions in the areas of network matrix functions, communicability, bipartivity, subgraph centrality, generalised topological indices and the so-called Estrada index of a network.

Reviews

`The emphasis on structural analysis is unique in comparison to other more popular positions in the field. In comparison to other books recently published on this topic, whether general or very specialized, this book focuses on understanding and elaborates on topics with examples, making it useful even for undergraduate students ... thus, although the book has an inclination to natural sciences (mainly physics and biology), it is aimed at a general
audience.'
Piotr Cholda, Computing Reviews
`The book is intended for researchers, graduate and advanced undergraduate students in interdisciplinary areas such as bioinformatics, chemistry, chemometrics, graph theory, mathematical chemistry, medical informatics, network biology and systems biology. [...] The book is nicely written and its thematical composition is unique. Its interesting interplay between theory and practical problems makes it a 'must read' for all scientists who work in network
science and who want to use graph theory to solve new problems.'
Matthias Dehmer, MATCH Communications in Mathematical and in Computer Chemistry
`The Structure of Complex Networks by E. Estrada is a great book, written by an expert in this new and exciting field. Starting from basic concepts, it describes the most recent advancements in the field in an open and enjoyable way. I recommend this book to both beginners and practitioners as a valuable tool for their research.'
Guido Caldarelli, ISC-CNR Rome, Italy