Large scale structure and dynamics of complex networks : from information technology to finance and natural science / editors Guido Caldarelli, Alessandro Vespignani.

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Material type: Text

TextSeries: Complex systems and interdisciplinary science ; v. 2.Publication details: Singapore ; Hackensack, NJ : World Scientific, ©2007.Description: 1 online resource (xi, 251 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789812771681
9812771689

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Additional physical formats: Print version:: Large scale structure and dynamics of complex networks.DDC classification:

004.6072 22

LOC classification:

QA402 .L355 2007

Online resources:

Click here to access online

Contents:

1. Preliminaries and basic definitions in Network Theory -- 2. Models of complex networks -- 3. Correlations in complex networks -- 4. The architecture of complex weighted networks: measurements and models -- 5. Community structure identification -- 6. Visualizing large complex networks -- 7. Modeling the webgraph: how far we are -- 8. The large scale structure of the Internet -- 9. Spanning trees in ecology -- 10. Social and financial networks.

Summary: This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 235-248) and index.

This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.

Print version record.

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