Graph spectra for complex networks (Record no. 2052)

000 -LEADER
fixed length control field 01895nam a22001937a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240923170914.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180910b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107411470
040 ## - CATALOGING SOURCE
Transcribing agency Educational Supplies
Original cataloging agency ICTS-TIFR
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA166
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Piet van Mieghem
245 ## - TITLE STATEMENT
Title Graph spectra for complex networks
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York:
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. [c2011]
300 ## - Physical Description
Pages: 346 p
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1 - Introduction <br/><br/>Part I - Spectra of graphs<br/>2 - Algebraic graph theory <br/>3 - Eigenvalues of the adjacency matrix <br/>4 - Eigenvalues of the Laplacian Q<br/>5 - Spectra of special types of graphs<br/>6 - Density function of the eigenvalues <br/>7 - Spectra of complex networks <br/><br/>Part II - Eigensystem and polynomials <br/>8 - Eigensystem of a matrix <br/>9 - Polynomials with real coefficients<br/>10 - Orthogonal polynomials <br/>
520 ## - SUMMARY, ETC.
Summary, etc. Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph theory has become a powerful tool in the investigation of network performance. This self-contained 2010 book provides a concise introduction to the theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to the analysis of complex systems, this guide provides the mathematical foundation needed to understand and apply spectral insight to real-world systems. In particular, the general properties of both the adjacency and Laplacian spectrum of graphs are derived and applied to complex networks. An ideal resource for researchers and students in communications networking as well as in physics and mathematics.--- summary provided by publisher
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Shelving location Date acquired Full call number Accession No. Koha item type
          ICTS Rack No 4 09/07/2018 QA166 01369 Book