000			03245cam a2200301 a 4500
001			16974977
005			20151128053045.0
008			110923s2012 nyua b 001 0 eng
010			_a 2011040376 _z 2011939975
020			_a9780199591756 (hardback)
040			_aDLC _cDLC
042			_apcc
050	0	0	_aT57.6 _b.E86 2012
082	0	0	_a003 _223 _bEST/S
084			_aSCI040000 _2bisacsh
100	1		_aEstrada, Ernesto, _d1966-
245	1	4	_aThe structure of complex networks : _btheory and applications / _cby Ernesto Estrada.
260			_aNew York : _bOxford University Press, _c2012.
300			_axii, 465 p. : _bill. ; _c26 cm.
505	8		_aMachine 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.
520			_a"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"--
520			_a"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"--
650		0	_aSystem analysis.
650		7	_aSCIENCE / Mathematical Physics _2bisacsh.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cTRB
999			_c1037 _d1037