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A first course in network theory Professor Ernesto Estrada, Professor in Mathematics and Chair in Complexity Science, University of Strathclyde, UK, Dr. Philip A. Knight, Lecturer in Mathematics, University of Strathclyde, UK.

By: Contributor(s): Material type: TextTextPublication details: London: Oxford University Press; 2015Edition: First editionDescription: xiv, 254 pages : illustrations (some color) ; 26 cmISBN:
  • 9780198726463 (pb)
Subject(s): DDC classification:
  • 003.72 EST/Fir 23
LOC classification:
  • Q295 .E83 2015
  • T57.85 .E87 2015
Contents:
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.
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Goa University Library General Stacks 003.72 EST/Fir (Browse shelf(Opens below)) Available 161295

Includes bibliographical references and index.

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.

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