A first course in network theory / (Record no. 16036)

MARC details
000 -LEADER
fixed length control field 02946nam a2200253Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520102820.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780198726463
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q 295 .E88 2015
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Estrada, Ernesto
Relator term author
245 #2 - TITLE STATEMENT
Title A first course in network theory /
Statement of responsibility, etc. Ernesto Estrada and Philip A. Knight.
250 ## - EDITION STATEMENT
Edition statement First edition
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Oxford, United Kingdom :
Name of publisher, distributor, etc. Oxford University Press,
Date of publication, distribution, etc. c2015
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 288 pages ;
Dimensions 25 cm.
365 ## - TRADE PRICE
Price amount USD53.96
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to network theory -- General concepts in network theory -- How to prove it -- Data analysis and manipulation -- Algebraic concepts in network theory -- Spectra of adjacency matrices -- The network Laplacian -- Classical physics analogies -- Degree distributions -- Clustering coefficients of networks -- Random models of networks -- Matrix functions -- Fragment-based measures -- Classical node centrality -- Spectral node centrality -- Quantum physics analogies -- Global properties of networks I -- Global properties of networks II -- Communicability in networks -- Statistical physics analogies -- Communities in networks.
520 ## - SUMMARY, ETC.
Summary, etc. The study of network theory is a highly interdisciplinary field, which has emerged as a major topic of interest in various disciplines ranging from physics and mathematics, to biology and sociology. This book promotes the diverse nature of the study of complex networks by balancing the needs of students from very different backgrounds. It references the most commonly used concepts in network theory, provides examples of their applications in solving practical problems, and clear indications on how to analyse their results. In the first part of the book, students and researchers will discover the quantitative and analytical tools necessary to work with complex networks, including the most basic concepts in network and graph theory, linear and matrix algebra, as well as the physical concepts most frequently used for studying networks. They will also find instruction on some key skills such as how to proof analytic results and how to manipulate empirical network data. The bulk of the text is focused on instructing readers on the most useful tools for modern practitioners of network theory. These include degree distributions, random networks, network fragments, centrality measures, clusters and communities, communicability, and local and global properties of networks. The combination of theory, example and method that are presented in this text, should ready the student to conduct their own analysis of networks with confidence and allow teachers to select appropriate examples and problems to teach this subject in the classroom.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SYSTEM ANALYSIS -- TEXTBOOKS
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Knight, Philip A.
Relator term co-author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Computer Science LRC - Main National University - Manila General Circulation 06/14/2017 Purchased - Amazon 377.78   GC Q 295 .E88 2015 NULIB000013795 05/20/2025 c.1 05/20/2025 Books