Structural analysis of complex networks
Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graph-theoretic methods with mathematical techniques from other scientific disciplines...
Gorde:
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| Beste egile batzuk: | |
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Boston :
Birkhäuser Boston : Springer e-books
[20..].
Cham : Springer Nature |
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Description d'après consultation du 20 avril 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Structural analysis of complex networks, Matthias Dehmer, ed., [Basel], Birkhäuser, 2010, 1 vol.(XIII-486 p.), 978-0-8176-4788-9 |
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| 020 | |a 9780817647896 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 084 | |a 05Cxx. 2010 | ||
| 084 | |a 05D40. 2010 | ||
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| 084 | |a 90B10. 2010 | ||
| 084 | |a 92E10. 2010 | ||
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| 100 | 1 | |a Dehmer, Matthias, |d 1968- | |
| 245 | 1 | 0 | |a Structural analysis of complex networks |c Matthias Dehmer, Editor. |
| 260 | |a Boston : |b Birkhäuser Boston : |b Springer e-books. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a Description d'après consultation du 20 avril 2012 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Notes bibliogr. Index p. 483-486 | ||
| 505 | 1 | |a 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 Context-Sensitivity Into the Generation of Spanning Trees Link-Based 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graph-theoretic 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 self-contained book presents theoretical and application-oriented results to structurally explore complex networks. The work focuses not only on classical graph-theoretic 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 graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods | ||
| 650 | |a Théorie des graphes | ||
| 650 | |a Systèmes, Analyse de | ||
| 700 | 1 | |a Dehmer, Matthias. |4 edt | |
| 760 | 0 | |t Mathematics and Statistics | |
| 776 | 0 | |0 148244270 |t Structural analysis of complex networks |f Matthias Dehmer, ed. |c [Basel] |n Birkhäuser |d 2010 |p 1 vol.(XIII-486 p.) |z 978-0-8176-4788-9 | |
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