The Resource Structural analysis of complex networks, edited by Matthias Dehmer
Structural analysis of complex networks, edited by Matthias Dehmer
Resource Information
The item Structural analysis of complex networks, edited by Matthias Dehmer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Structural analysis of complex networks, edited by Matthias Dehmer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 Because of the increasing complexity and growth of realworld networks, their analysis by using classical graphtheoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graphtheoretic methods with mathematical techniques from other scientific disciplines, such as machine learning and information theory, in order to analyze complex networks more adequately. Filling a gap in literature, this selfcontained book presents theoretical and applicationoriented results to structurally explore complex networks. The work focuses not only on classical graphtheoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Special emphasis is given to methods related to the following areas: * Applications to biology, chemistry, linguistics, and data analysis * Graph colorings * Graph polynomials * Information measures for graphs * Metrical properties of graphs * Partitions and decompositions * Quantitative graph measures Structural Analysis of Complex Networks is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. The book may be used as a supplementary textbook in graduatelevel seminars on structural graph analysis, complex networks, or networkbased machine learning methods
 Language
 eng
 Extent
 1 online resource (xiii, 486 pages)
 Contents

 Preface
 A Brief Introduction to Complex Networks and Their Analysis
 Partitions of Graphs
 Distance in Graphs
 Domination in Graphs
 Spectrum and Entropy for Infinite Directed Graphs
 Application of Infinite Labeled Graphs to Symbolic Dynamical Systems
 Decompositions and Factorizations of Complete Graphs
 Geodetic Sets in Graphs
 Graph Polynomials and Their Applications I: The Tutte Polynomial
 Graph Polynomials and Their Applications II: Interrelations and Interpretations
 Reconstruction Problems for Graphs, Krawtchouk Polynomials, and Diophantine Equations
 Subgraphs as a Measure of Similarity
 A Chromatic Metric on Graphs
 Some Applications of Eigenvalues of Graphs
 Minimum Spanning Markovian Trees: Introducing ContextSensitivity Into the Generation of Spanning Trees
 LinkBased Network Mining
 Graph Representations and Algorithms in Computational Biology of RNA Secondary Structure
 Inference of Protein Function from the Structure of Interaction Networks
 Applications of Perfect Matchings in Chemistry
 Index
 Isbn
 9780817647896
 Label
 Structural analysis of complex networks
 Title
 Structural analysis of complex networks
 Statement of responsibility
 edited by Matthias Dehmer
 Language
 eng
 Summary
 Because of the increasing complexity and growth of realworld networks, their analysis by using classical graphtheoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graphtheoretic methods with mathematical techniques from other scientific disciplines, such as machine learning and information theory, in order to analyze complex networks more adequately. Filling a gap in literature, this selfcontained book presents theoretical and applicationoriented results to structurally explore complex networks. The work focuses not only on classical graphtheoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Special emphasis is given to methods related to the following areas: * Applications to biology, chemistry, linguistics, and data analysis * Graph colorings * Graph polynomials * Information measures for graphs * Metrical properties of graphs * Partitions and decompositions * Quantitative graph measures Structural Analysis of Complex Networks is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. The book may be used as a supplementary textbook in graduatelevel seminars on structural graph analysis, complex networks, or networkbased machine learning methods
 Cataloging source
 GW5XE
 Dewey number
 511.5
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA402
 LC item number
 .S77 2011
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 http://library.link/vocab/relatedWorkOrContributorDate
 1968
 http://library.link/vocab/relatedWorkOrContributorName
 Dehmer, Matthias
 http://library.link/vocab/subjectName

 System analysis
 Graph theory
 Graph theory
 System analysis
 Label
 Structural analysis of complex networks, edited by Matthias Dehmer
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Preface  A Brief Introduction to Complex Networks and Their Analysis  Partitions of Graphs  Distance in Graphs  Domination in Graphs  Spectrum and Entropy for Infinite Directed Graphs  Application of Infinite Labeled Graphs to Symbolic Dynamical Systems  Decompositions and Factorizations of Complete Graphs  Geodetic Sets in Graphs  Graph Polynomials and Their Applications I: The Tutte Polynomial  Graph Polynomials and Their Applications II: Interrelations and Interpretations  Reconstruction Problems for Graphs, Krawtchouk Polynomials, and Diophantine Equations  Subgraphs as a Measure of Similarity  A Chromatic Metric on Graphs  Some Applications of Eigenvalues of Graphs  Minimum Spanning Markovian Trees: Introducing ContextSensitivity Into the Generation of Spanning Trees  LinkBased Network Mining  Graph Representations and Algorithms in Computational Biology of RNA Secondary Structure  Inference of Protein Function from the Structure of Interaction Networks  Applications of Perfect Matchings in Chemistry  Index
 Control code
 682910835
 Dimensions
 unknown
 Extent
 1 online resource (xiii, 486 pages)
 Form of item
 online
 Isbn
 9780817647896
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9780817647896
 Other physical details
 illustrations
 http://library.link/vocab/ext/overdrive/overdriveId
 9780817647889
 Specific material designation
 remote
 System control number
 (OCoLC)682910835
 Label
 Structural analysis of complex networks, edited by Matthias Dehmer
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Preface  A Brief Introduction to Complex Networks and Their Analysis  Partitions of Graphs  Distance in Graphs  Domination in Graphs  Spectrum and Entropy for Infinite Directed Graphs  Application of Infinite Labeled Graphs to Symbolic Dynamical Systems  Decompositions and Factorizations of Complete Graphs  Geodetic Sets in Graphs  Graph Polynomials and Their Applications I: The Tutte Polynomial  Graph Polynomials and Their Applications II: Interrelations and Interpretations  Reconstruction Problems for Graphs, Krawtchouk Polynomials, and Diophantine Equations  Subgraphs as a Measure of Similarity  A Chromatic Metric on Graphs  Some Applications of Eigenvalues of Graphs  Minimum Spanning Markovian Trees: Introducing ContextSensitivity Into the Generation of Spanning Trees  LinkBased Network Mining  Graph Representations and Algorithms in Computational Biology of RNA Secondary Structure  Inference of Protein Function from the Structure of Interaction Networks  Applications of Perfect Matchings in Chemistry  Index
 Control code
 682910835
 Dimensions
 unknown
 Extent
 1 online resource (xiii, 486 pages)
 Form of item
 online
 Isbn
 9780817647896
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9780817647896
 Other physical details
 illustrations
 http://library.link/vocab/ext/overdrive/overdriveId
 9780817647889
 Specific material designation
 remote
 System control number
 (OCoLC)682910835
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Structuralanalysisofcomplexnetworksedited/wZ8I0M_qOug/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Structuralanalysisofcomplexnetworksedited/wZ8I0M_qOug/">Structural analysis of complex networks, edited by Matthias Dehmer</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>