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The Structure of Complex Networks
Theory and Applications
Ernesto Estrada
480 pages
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305 b/w line illustrations and halftones
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246x189mm
978-0-19-959175-6
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Hardback
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20 October 2011
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- Highly active interdisciplinary field
- Gives a unified view of the field integrating various approaches
- Appropriate for a wide range of readers from different intellectual backgrounds
- Combines mathematical rigour with many illustrative examples
- Covers deeply and critically the main areas of applications
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.
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Ernesto Estrada, Chair in Complexity Science, Department of Mathematics and Statistics, Department of Physics, University of Strathclyde, Glasgow 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.
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"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
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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
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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